notebooks/random_split.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1aa90dd3-75f2-4997-8aa5-d1cf071aa11c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "polars.config.Config"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import sys\n",
    "import polars as pl\n",
    "import json\n",
    "from joblib import Parallel, delayed\n",
    "import deepchem\n",
    "from tqdm import tqdm\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "from sklearn.model_selection import StratifiedGroupKFold, GroupKFold, KFold, GroupShuffleSplit, ShuffleSplit, StratifiedKFold\n",
    "import gc\n",
    "import random\n",
    "from functools import partial\n",
    "import catboost\n",
    "from catboost import FeaturesData, Pool, CatBoost, CatBoostClassifier, CatBoostRegressor, CatBoostRanker\n",
    "import time\n",
    "import math\n",
    "from sklearn.metrics import average_precision_score\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "from functools import partial\n",
    "import mapply\n",
    "\n",
    "# Configure Polars \n",
    "cfg = pl.Config()\n",
    "cfg.set_tbl_rows(20)\n",
    "cfg.set_tbl_cols(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b7eb3b6e-814d-4c73-be58-7fdd91be7892",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e3869251-fba8-4beb-9870-8a0f23e63ff6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (98_415_610, 4)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th><th>label</th></tr><tr><td>u8</td><td>u8</td><td>u8</td><td>i64</td></tr></thead><tbody><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>0</td><td>0</td><td>0</td><td>0</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (98_415_610, 4)\n",
       "┌──────┬─────┬─────┬───────┐\n",
       "│ BRD4 ┆ HSA ┆ sEH ┆ label │\n",
       "│ ---  ┆ --- ┆ --- ┆ ---   │\n",
       "│ u8   ┆ u8  ┆ u8  ┆ i64   │\n",
       "╞══════╪═════╪═════╪═══════╡\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ …    ┆ …   ┆ …   ┆ …     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "│ 0    ┆ 0   ┆ 0   ┆ 0     │\n",
       "└──────┴─────┴─────┴───────┘"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pl.scan_csv('/home/dangnh36/datasets/.comp/leash_belka/processed/train_v2.csv').select(\n",
    "        pl.col('BRD4', 'HSA', 'sEH').cast(pl.UInt8),\n",
    "        (pl.col('BRD4') * 4 + pl.col('HSA') * 2 + pl.col('sEH')).alias('label')\n",
    "    ).collect()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "11dd96b9-15bc-48c0-a3b3-5880d053b872",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['label'].to_pandas().hist(log = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "51fb4db4-f8a3-475d-bdee-821ed7387c26",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "8fe8aae2-c2d6-4706-b860-48ebe38142ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 0\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004619</td><td>0.004146</td><td>0.007353</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬──────────┬──────────┐\n",
       "│ BRD4     ┆ HSA      ┆ sEH      │\n",
       "│ ---      ┆ ---      ┆ ---      │\n",
       "│ f64      ┆ f64      ┆ f64      │\n",
       "╞══════════╪══════════╪══════════╡\n",
       "│ 0.004619 ┆ 0.004146 ┆ 0.007353 │\n",
       "└──────────┴──────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 1\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004674</td><td>0.004148</td><td>0.007434</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬──────────┬──────────┐\n",
       "│ BRD4     ┆ HSA      ┆ sEH      │\n",
       "│ ---      ┆ ---      ┆ ---      │\n",
       "│ f64      ┆ f64      ┆ f64      │\n",
       "╞══════════╪══════════╪══════════╡\n",
       "│ 0.004674 ┆ 0.004148 ┆ 0.007434 │\n",
       "└──────────┴──────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 2\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004649</td><td>0.004171</td><td>0.00739</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬──────────┬─────────┐\n",
       "│ BRD4     ┆ HSA      ┆ sEH     │\n",
       "│ ---      ┆ ---      ┆ ---     │\n",
       "│ f64      ┆ f64      ┆ f64     │\n",
       "╞══════════╪══════════╪═════════╡\n",
       "│ 0.004649 ┆ 0.004171 ┆ 0.00739 │\n",
       "└──────────┴──────────┴─────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 3\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004619</td><td>0.004227</td><td>0.007392</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬──────────┬──────────┐\n",
       "│ BRD4     ┆ HSA      ┆ sEH      │\n",
       "│ ---      ┆ ---      ┆ ---      │\n",
       "│ f64      ┆ f64      ┆ f64      │\n",
       "╞══════════╪══════════╪══════════╡\n",
       "│ 0.004619 ┆ 0.004227 ┆ 0.007392 │\n",
       "└──────────┴──────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 4\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004603</td><td>0.004156</td><td>0.007358</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬──────────┬──────────┐\n",
       "│ BRD4     ┆ HSA      ┆ sEH      │\n",
       "│ ---      ┆ ---      ┆ ---      │\n",
       "│ f64      ┆ f64      ┆ f64      │\n",
       "╞══════════╪══════════╪══════════╡\n",
       "│ 0.004603 ┆ 0.004156 ┆ 0.007358 │\n",
       "└──────────┴──────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 5\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004667</td><td>0.00413</td><td>0.007361</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬─────────┬──────────┐\n",
       "│ BRD4     ┆ HSA     ┆ sEH      │\n",
       "│ ---      ┆ ---     ┆ ---      │\n",
       "│ f64      ┆ f64     ┆ f64      │\n",
       "╞══════════╪═════════╪══════════╡\n",
       "│ 0.004667 ┆ 0.00413 ┆ 0.007361 │\n",
       "└──────────┴─────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 6\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004662</td><td>0.004127</td><td>0.007373</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬──────────┬──────────┐\n",
       "│ BRD4     ┆ HSA      ┆ sEH      │\n",
       "│ ---      ┆ ---      ┆ ---      │\n",
       "│ f64      ┆ f64      ┆ f64      │\n",
       "╞══════════╪══════════╪══════════╡\n",
       "│ 0.004662 ┆ 0.004127 ┆ 0.007373 │\n",
       "└──────────┴──────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 7\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.00463</td><td>0.004125</td><td>0.007361</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌─────────┬──────────┬──────────┐\n",
       "│ BRD4    ┆ HSA      ┆ sEH      │\n",
       "│ ---     ┆ ---      ┆ ---      │\n",
       "│ f64     ┆ f64      ┆ f64      │\n",
       "╞═════════╪══════════╪══════════╡\n",
       "│ 0.00463 ┆ 0.004125 ┆ 0.007361 │\n",
       "└─────────┴──────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 8\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004639</td><td>0.004169</td><td>0.007304</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬──────────┬──────────┐\n",
       "│ BRD4     ┆ HSA      ┆ sEH      │\n",
       "│ ---      ┆ ---      ┆ ---      │\n",
       "│ f64      ┆ f64      ┆ f64      │\n",
       "╞══════════╪══════════╪══════════╡\n",
       "│ 0.004639 ┆ 0.004169 ┆ 0.007304 │\n",
       "└──────────┴──────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 9\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004646</td><td>0.004125</td><td>0.007313</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬──────────┬──────────┐\n",
       "│ BRD4     ┆ HSA      ┆ sEH      │\n",
       "│ ---      ┆ ---      ┆ ---      │\n",
       "│ f64      ┆ f64      ┆ f64      │\n",
       "╞══════════╪══════════╪══════════╡\n",
       "│ 0.004646 ┆ 0.004125 ┆ 0.007313 │\n",
       "└──────────┴──────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 10\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.00462</td><td>0.004169</td><td>0.007324</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌─────────┬──────────┬──────────┐\n",
       "│ BRD4    ┆ HSA      ┆ sEH      │\n",
       "│ ---     ┆ ---      ┆ ---      │\n",
       "│ f64     ┆ f64      ┆ f64      │\n",
       "╞═════════╪══════════╪══════════╡\n",
       "│ 0.00462 ┆ 0.004169 ┆ 0.007324 │\n",
       "└─────────┴──────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 11\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004659</td><td>0.004184</td><td>0.00742</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬──────────┬─────────┐\n",
       "│ BRD4     ┆ HSA      ┆ sEH     │\n",
       "│ ---      ┆ ---      ┆ ---     │\n",
       "│ f64      ┆ f64      ┆ f64     │\n",
       "╞══════════╪══════════╪═════════╡\n",
       "│ 0.004659 ┆ 0.004184 ┆ 0.00742 │\n",
       "└──────────┴──────────┴─────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 12\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004655</td><td>0.004149</td><td>0.007338</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬──────────┬──────────┐\n",
       "│ BRD4     ┆ HSA      ┆ sEH      │\n",
       "│ ---      ┆ ---      ┆ ---      │\n",
       "│ f64      ┆ f64      ┆ f64      │\n",
       "╞══════════╪══════════╪══════════╡\n",
       "│ 0.004655 ┆ 0.004149 ┆ 0.007338 │\n",
       "└──────────┴──────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 13\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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l4eSdd97RhQsX1NzcbMXmAQCAjaUcTgYGBtTS0qKysjJ5PB719vZO+4xhGKqsrFReXp58Pp8GBwenvP/EE0/o4MGDcy4aAAAsXimHk0gkourqahmGMeP73d3dCgaD2r9/v86ePavq6mo1NTXpypUrkqRjx47pnnvu0T333DO/ygEAwKKU8u3rm5ubb3s65umnn9bu3bu1c+dOSdLhw4f16quv6oUXXtDevXv11ltv6aWXXtIrr7yiiYkJxWIxFRQUaN++fTOOF41GFY1Gk8vhcFiSFIvFFIvFUi3/tibH82aZaR3XKSb7pv+Z+0/38WZHkz1a2as327rjb67/DSymY8MOx4CV3N6/tHD7IJXxPKZpzvk3gcfjUU9Pj7Zu3SpJunnzpvLz83X06NHkOkny+/26du2ajh07NuXfd3V16dy5c/rzP//zW26jo6NDBw4cmLb+yJEjys/Pn2vpAAAgg27cuKHt27drfHxcBQUFt/1sWh/8NzY2png8rpKSkinrS0pKdOHChTmN2d7ermAwmFwOh8MqLy/Xli1bZm0uVbFYTH19ffraUJaiiekPflvsvFmm/qQuQf+36P9cR5MFVWXW5H8DmzdvVk5OjiU1rO04Ycl2pbn/N7CYjg07HANWcnv/0sLtg8kzHx+EpU8l3rFjx6yf8Xq98nq9MgxDhmEoHo9LknJychbswIkmPDM+ldYt6H/m/t30i2oh//uajR2OvVT/G1iMx4aVx4AduL1/Kf37IJWx0jqVuLi4WNnZ2QqFQlPWh0IhlZaWzmvsQCCg8+fP6/Tp0/MaBwAA2Ftaw0lubq5qa2vV39+fXJdIJNTf368NGzakc1MAAGCRSvm0zsTEhC5dupRcHhkZ0fDwsIqKilRRUaFgMCi/36+6ujo1NDSos7NTkUgkOXtnrn7xtA4AAFicUg4nQ0NDamxsTC5PXqzq9/vV1dWl1tZWXb16Vfv27dPo6Khqamp0/PjxaRfJpioQCCgQCCgcDquwsHBeYwEAAPtKOZxs3LhRs80+bmtrU1tb25yLAgAA7mXZg/9SZRiGqqqqVF9fb3UpAABgATkmnDBbBwAAd3BMOAEAAO7gmHDCaR0AANzBMeGE0zoAALiDY8IJAABwB8IJAACwFcIJAACwFceEEy6IBQDAHRwTTrggFgAAd3BMOAEAAO5AOAEAALZCOAEAALaS8lOJrWIYhgzDUDwet7oUwDEq976a0ue92aa+3iCt7TihaNyzQFUBwO055psTLogFAMAdHBNOAACAOxBOAACArRBOAACArRBOAACArTgmnHD7egAA3MEx4YTZOgAAuINjwgkAAHAHwgkAALAVwgkAALAVwgkAALAVwgkAALAVwgkAALAVwgkAALAVwgkAALAVx4QT7hALAIA7OCaccIdYAADcwTHhBAAAuAPhBAAA2ArhBAAA2ArhBAAA2ArhBAAA2ArhBAAA2ArhBAAA2ArhBAAA2ErGw8m1a9dUV1enmpoarV27Vs8991ymSwAAADa2JNMbXLZsmQYGBpSfn69IJKK1a9dq27ZtWr58eaZLAQAANpTxb06ys7OVn58vSYpGozJNU6ZpZroMAABgUymHk4GBAbW0tKisrEwej0e9vb3TPmMYhiorK5WXlyefz6fBwcEp71+7dk3V1dVavXq1vvrVr6q4uHjODQAAgMUl5dM6kUhE1dXV2rVrl7Zt2zbt/e7ubgWDQR0+fFg+n0+dnZ1qamrSxYsXtWLFCknShz70Ib399tsKhULatm2bPve5z6mkpGTG7UWjUUWj0eRyOByWJMViMcVisVTLv63J8bxZ7vwmZ7Jv+p+5/3Qfb5ngzU7tZ8kxMLf+nXhs3MpkL4upp1S4vX9p4fZBKuN5zHmcU/F4POrp6dHWrVuT63w+n+rr63Xo0CFJUiKRUHl5ufbs2aO9e/dOG+P3f//39cADD+hzn/vcjNvo6OjQgQMHpq0/cuRI8vQQAACwtxs3bmj79u0aHx9XQUHBbT+b1gtib968qTNnzqi9vT25LisrS5s2bdKpU6ckSaFQSPn5+Vq2bJnGx8c1MDCgr3zlK7ccs729XcFgMLkcDodVXl6uLVu2zNpcqmKxmPr6+vS1oSxFE560ju0E3ixTf1KXoP9b9H+uo8mCquZnbceJlD7PMTC3/p14bNzK5O/BzZs3Kycnx+pyMs7t/UsLtw8mz3x8EGkNJ2NjY4rH49NO0ZSUlOjChQuSpHfffVdf/vKXkxfC7tmzR+vWrbvlmF6vV16vd9r6nJycBTtwogmPonH3/WKeRP8z9+/EX1Rz/TlyDKTWvxOPjdks5O9YJ3B7/1L690EqY2V8KnFDQ4OGh4dT/neGYcgwDMXj8fQXBQAAbCOtU4mLi4uVnZ2tUCg0ZX0oFFJpaem8xg4EAjp//rxOnz49r3EAAIC9pTWc5Obmqra2Vv39/cl1iURC/f392rBhQzo3BQAAFqmUT+tMTEzo0qVLyeWRkRENDw+rqKhIFRUVCgaD8vv9qqurU0NDgzo7OxWJRLRz5855FcppHQAA3CHlcDI0NKTGxsbk8uRMGr/fr66uLrW2turq1avat2+fRkdHVVNTo+PHj9/yPiYfVCAQUCAQUDgcVmFh4bzGAgAA9pVyONm4ceOst5tva2tTW1vbnIsCAADulfFn68yVYRiqqqpSfX291aUAAIAF5JhwwmwdAADcwTHhBAAAuINjwgmndQAAcAfHhBNO6wAA4A6OCScAAMAdCCcAAMBWHBNOuOYEAAB3cEw44ZoTAADcwTHhBAAAuAPhBAAA2ArhBAAA2IpjwgkXxAIA4A6OCSdcEAsAgDs4JpwAAAB3IJwAAABbIZwAAABbIZwAAABbIZwAAABbcUw4YSoxAADu4JhwwlRiAADcwTHhBAAAuAPhBAAA2ArhBAAA2ArhBAAA2ArhBAAA2ArhBAAA2ArhBAAA2Ipjwgk3YQMAwB0cE064CRsAAO7gmHACAADcgXACAABshXACAABshXACAABshXACAABshXACAABshXACAABshXACAABshXACAABsJePh5PLly9q4caOqqqq0fv16vfLKK5kuAQAA2NiSjG9wyRJ1dnaqpqZGo6Ojqq2t1Wc+8xndeeedmS4FAADYUMbDycqVK7Vy5UpJUmlpqYqLi/Xee+8RTgAAgKQ5nNYZGBhQS0uLysrK5PF41NvbO+0zhmGosrJSeXl58vl8GhwcnHGsM2fOKB6Pq7y8POXCAQDA4pTyNyeRSETV1dXatWuXtm3bNu397u5uBYNBHT58WD6fT52dnWpqatLFixe1YsWK5Ofee+89ffGLX9Rzzz132+1Fo1FFo9HkcjgcliTFYjHFYrFUy7+tyfG8WWZax3WKyb7pf+b+0328ZYI3O7WfJcfA3Pp34rFxK5O9LKaeUuH2/qWF2wepjOcxTXPOv4U8Ho96enq0devW5Dqfz6f6+nodOnRIkpRIJFReXq49e/Zo7969kv43cGzevFm7d+/Wb//2b992Gx0dHTpw4MC09UeOHFF+fv5cSwcAABl048YNbd++XePj4yooKLjtZ9N6zcnNmzd15swZtbe3J9dlZWVp06ZNOnXqlCTJNE3t2LFDDzzwwKzBRJLa29sVDAaTy+FwWOXl5dqyZcuszaUqFoupr69PXxvKUjThSevYTuDNMvUndQn6v0X/5zqaLKhqftZ2nEjp8xwDc+vficfGrUz+Hty8ebNycnKsLifj3N6/tHD7YPLMxweR1nAyNjameDyukpKSKetLSkp04cIFSdK//Mu/qLu7W+vXr09er/J3f/d3Wrdu3Yxjer1eeb1eGYYhwzAUj8clSTk5OQt24EQTHkXj7vvFPIn+Z+7fib+o5vpz5BhIrX8nHhuzWcjfsU7g9v6l9O+DVMbK+GydT33qU0okEin/u0AgoEAgoHA4rMLCwgWoDAAA2EFab8JWXFys7OxshUKhKetDoZBKS0vTuSkAALBIpTWc5Obmqra2Vv39/cl1iURC/f392rBhw7zGNgxDVVVVqq+vn2+ZAADAxlI+rTMxMaFLly4ll0dGRjQ8PKyioiJVVFQoGAzK7/errq5ODQ0N6uzsVCQS0c6dO+dVKKd1AABwh5TDydDQkBobG5PLkzNp/H6/urq61NraqqtXr2rfvn0aHR1VTU2Njh8/Pu0iWQAAgJmkHE42btyo2W6N0tbWpra2tjkXNZNfnK0DAAAWp4w/lXiuAoGAzp8/r9OnT1tdCgAAWECOCScAAMAdCCcAAMBWHBNOmEoMAIA7OCaccM0JAADu4JhwAgAA3IFwAgAAbMUx4YRrTgAAcAfHhBOuOQEAwB0cE04AAIA7EE4AAICtEE4AAICtOCaccEEsAADu4JhwwgWxAAC4g2PCCQAAcAfCCQAAsBXCCQAAsBXCCQAAsBXCCQAAsBXHhBOmEgMA4A6OCSdMJQYAwB0cE04AAIA7EE4AAICtEE4AAICtEE4AAICtEE4AAICtLLG6AABA5lXufXXG9d5sU19vkNZ2nFA07slwVbf3H089ZHUJyBC+OQEAALbimHDCTdgAAHAHx4QTbsIGAIA7OCacAAAAdyCcAAAAWyGcAAAAWyGcAAAAWyGcAAAAWyGcAAAAWyGcAAAAWyGcAAAAW7Hk2TqPPPKIXn/9dT344IM6evSoFSUAABzmVs8DSqd0P1uI5wHNjSXfnDz22GP69re/bcWmAQCAzVkSTjZu3Khly5ZZsWkAAGBzKYeTgYEBtbS0qKysTB6PR729vdM+YxiGKisrlZeXJ5/Pp8HBwXTUCgAAXCDlcBKJRFRdXS3DMGZ8v7u7W8FgUPv379fZs2dVXV2tpqYmXblyZd7FAgCAxS/lC2Kbm5vV3Nx8y/effvpp7d69Wzt37pQkHT58WK+++qpeeOEF7d27N+UCo9GootFocjkcDkuSYrGYYrFYyuPdzuR43iwzreM6xWTf9D9z/+k+3jLBm53az5JjYG79L6Zjg2Mgvf078diYrHmh/sZ+EB7TNOf8E/B4POrp6dHWrVslSTdv3lR+fr6OHj2aXCdJfr9f165d07Fjx5LrXn/9dR06dGjW2TodHR06cODAtPVHjhxRfn7+XEsHAAAZdOPGDW3fvl3j4+MqKCi47WfTOpV4bGxM8XhcJSUlU9aXlJTowoULyeVNmzbp7bffViQS0erVq/XKK69ow4YNM47Z3t6uYDCYXA6HwyovL9eWLVtmbS5VsVhMfX19+tpQlqKJ+U8hcxpvlqk/qUvQ/y36P9fRZEFV87O240RKn+cYmFv/i+nY4BhIb/9OPDYm/xZu3rxZOTk5aRt38szHB2HJfU5+8IMffODPer1eeb1eGYYhwzAUj8clSTk5OWndaT8vmvCkZX67U9H/zP0v1PG2kOb6c+QYSK3/xXhscAykp38nHhuT0v13NpWx0jqVuLi4WNnZ2QqFQlPWh0IhlZaWzmvsQCCg8+fP6/Tp0/MaBwAA2Ftaw0lubq5qa2vV39+fXJdIJNTf33/L0zYAAAA/L+XTOhMTE7p06VJyeWRkRMPDwyoqKlJFRYWCwaD8fr/q6urU0NCgzs5ORSKR5OydufrF0zoAAGBxSjmcDA0NqbGxMbk8ebGq3+9XV1eXWltbdfXqVe3bt0+jo6OqqanR8ePHp10km6pAIKBAIKBwOKzCwsJ5jQUAAOwr5XCyceNGzTb7uK2tTW1tbXMuCgAAuJclz9aZC8MwVFVVpfr6eqtLAQAAC8gx4YTZOgAAuINjwgkAAHAHx4QTTusAAOAOjgknnNYBAMAdHBNOAACAOxBOAACArRBOAACArTgmnHBBLAAA7uCYcMIFsQAAuINjwgkAAHAHwgkAALAVwgkAALAVx4QTLogFAMAdHBNOuCAWAAB3cEw4AQAA7kA4AQAAtkI4AQAAtkI4AQAAtuKYcMJsHQAA3MEx4YTZOgAAuINjwgkAAHAHwgkAALAVwgkAALAVwgkAALAVwgkAALAVwgkAALAVwgkAALCVJVYX8EEZhiHDMBSPx60uBQCAD6Ry76tWl5Ayb7aprzdYW4NjvjnhJmwAALiDY8IJAABwB8IJAACwFcIJAACwFcIJAACwFcIJAACwFcIJAACwFcIJAACwFcIJAACwFcIJAACwFUvCyXe/+1197GMf0913363nn3/eihIAAIBNZfzZOu+//76CwaBOnjypwsJC1dbW6pFHHtHy5cszXQoAALChjH9zMjg4qHvvvVerVq3S0qVL1dzcrO9///uZLgMAANhUyuFkYGBALS0tKisrk8fjUW9v77TPGIahyspK5eXlyefzaXBwMPneT3/6U61atSq5vGrVKv3kJz+ZW/UAAGDRSfm0TiQSUXV1tXbt2qVt27ZNe7+7u1vBYFCHDx+Wz+dTZ2enmpqadPHiRa1YsSLlAqPRqKLRaHI5HA5LkmKxmGKxWMrj3c7keN4sM63jOsVk3/Q/c//pPt4ywZud2s+SY2Bu/S+mY4NjwN39S/+/94X6G/tBeEzTnPNPwOPxqKenR1u3bk2u8/l8qq+v16FDhyRJiURC5eXl2rNnj/bu3as333xT3/jGN9TT0yNJevzxx9XQ0KDt27fPuI2Ojg4dOHBg2vrnn39e+fn5cy0dAABk0I0bN/SlL31J165dU2Fh4e0/bM6DJLOnpye5HI1Gzezs7CnrTNM0v/jFL5oPP/ywaZqmGYvFzI9+9KPmf/3Xf5nXr18377nnHnNsbOyW2/if//kfc3x8PPk6f/68KYkXL168ePHi5cDX5cuXZ80XaZ2tMzY2png8rpKSkinrS0pKdOHCBUnSkiVL9M1vflONjY1KJBL6oz/6o9vO1PF6vfJ6vcnlpUuX6vLly1q2bJk8Hk86y1c4HFZ5ebkuX76sgoKCtI7tBPTv7v4l9oHb+5fYB27vX1q4fWCapq5fv66ysrJZP5vxqcSS9PDDD+vhhx+e07/NysrS6tWr01zRVAUFBa49KCX6d3v/EvvA7f1L7AO39y8tzD6Y9XTO/0nrVOLi4mJlZ2crFApNWR8KhVRaWprOTQEAgEUqreEkNzdXtbW16u/vT65LJBLq7+/Xhg0b0rkpAACwSKV8WmdiYkKXLl1KLo+MjGh4eFhFRUWqqKhQMBiU3+9XXV2dGhoa1NnZqUgkop07d6a18IXg9Xq1f//+Kde4uAn9u7t/iX3g9v4l9oHb+5fssQ9Snkr8+uuvq7Gxcdp6v9+vrq4uSdKhQ4f0jW98Q6Ojo6qpqdG3vvUt+Xy+tBQMAAAWt3nd5wQAACDdLHkqMQAAwK0QTgAAgK0QTgAAgK0QTgAAgK0QTv6PYRiqrKxUXl6efD6fBgcHrS4pYwYGBtTS0qKysjJ5PB719vZaXVJGHTx4UPX19Vq2bJlWrFihrVu36uLFi1aXlVHPPPOM1q9fn7wj5IYNG/S9733P6rIs89RTT8nj8ejxxx+3upSM6OjokMfjmfL6+Mc/bnVZGfeTn/xEv/Vbv6Xly5frjjvu0Lp16zQ0NGR1WRlRWVk57RjweDwKBAKW1EM4kdTd3a1gMKj9+/fr7Nmzqq6uVlNTk65cuWJ1aRkRiURUXV0twzCsLsUSb7zxhgKBgN566y319fUpFotpy5YtikQiVpeWMatXr9ZTTz2lM2fOaGhoSA888IA++9nP6sc//rHVpWXc6dOn9dd//ddav3691aVk1L333quf/exnydcPf/hDq0vKqP/+7//Wfffdp5ycHH3ve9/T+fPn9c1vflN33XWX1aVlxOnTp6f8/Pv6+iRJn//8560pKNUnES9GDQ0NZiAQSC7H43GzrKzMPHjwoIVVWUPStKdKu82VK1dMSeYbb7xhdSmWuuuuu8znn3/e6jIy6vr16+bdd99t9vX1mZ/+9KfNxx57zOqSMmL//v1mdXW11WVY6o//+I/NT33qU1aXYRuPPfaY+cu//MtmIpGwZPuu/+bk5s2bOnPmjDZt2pRcl5WVpU2bNunUqVMWVgarjI+PS5KKioosrsQa8XhcL730kiKRiOseOxEIBPTQQw9N+X3gFu+8847Kysr0kY98RI8++qj+8z//0+qSMuo73/mO6urq9PnPf14rVqzQJz7xCT333HNWl2WJmzdv6u///u+1a9cueTweS2pwfTgZGxtTPB5XSUnJlPUlJSUaHR21qCpYJZFI6PHHH9d9992ntWvXWl1ORv3oRz/S0qVL5fV69Xu/93vq6elRVVWV1WVlzEsvvaSzZ8/q4MGDVpeScT6fT11dXTp+/LieeeYZjYyM6P7779f169etLi1j/v3f/13PPPOM7r77bp04cUJf+cpX9Ad/8Af627/9W6tLy7je3l5du3ZNO3bssKyGlJ+tAyxmgUBA586dc935dkn62Mc+puHhYY2Pj+vo0aPy+/164403XBFQLl++rMcee0x9fX3Ky8uzupyMa25uTv7v9evXy+fzac2aNXr55Zf1O7/zOxZWljmJREJ1dXV68sknJUmf+MQndO7cOR0+fFh+v9/i6jLrb/7mb9Tc3KyysjLLanD9NyfFxcXKzs5WKBSasj4UCqm0tNSiqmCFtrY2ffe739XJkye1evVqq8vJuNzcXH30ox9VbW2tDh48qOrqav3FX/yF1WVlxJkzZ3TlyhV98pOf1JIlS7RkyRK98cYb+ta3vqUlS5YoHo9bXWJGfehDH9I999wz5SGvi93KlSunBfFf+ZVfcd3prXfffVc/+MEP9KUvfcnSOlwfTnJzc1VbW6v+/v7kukQiof7+ftedb3cr0zTV1tamnp4evfbaa/rwhz9sdUm2kEgkFI1GrS4jIx588EH96Ec/0vDwcPJVV1enRx99VMPDw8rOzra6xIyamJjQv/3bv2nlypVWl5Ix991337RbCPzrv/6r1qxZY1FF1njxxRe1YsUKPfTQQ5bWwWkdScFgUH6/X3V1dWpoaFBnZ6cikYh27txpdWkZMTExMeX/IY2MjGh4eFhFRUWqqKiwsLLMCAQCOnLkiI4dO6Zly5YlrzUqLCzUHXfcYXF1mdHe3q7m5mZVVFTo+vXrOnLkiF5//XWdOHHC6tIyYtmyZdOuMbrzzju1fPlyV1x79MQTT6ilpUVr1qzRT3/6U+3fv1/Z2dn6zd/8TatLy5g//MM/1K/92q/pySef1Be+8AUNDg7q2Wef1bPPPmt1aRmTSCT04osvyu/3a8kSi+OBJXOEbOgv//IvzYqKCjM3N9dsaGgw33rrLatLypiTJ0+akqa9/H6/1aVlxEy9SzJffPFFq0vLmF27dplr1qwxc3NzzV/6pV8yH3zwQfP73/++1WVZyk1TiVtbW82VK1eaubm55qpVq8zW1lbz0qVLVpeVcf/0T/9krl271vR6vebHP/5x89lnn7W6pIw6ceKEKcm8ePGi1aWYHtM0TWtiEQAAwHSuv+YEAADYC+EEAADYCuEEAADYCuEEAADYCuEEAADYCuEEAADYCuEEAADYCuEEAADYCuEEAADYCuEEAADYCuEEAADYyv8DJJbTu7Gwp3AAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.00464</td><td>0.004148</td><td>0.007319</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌─────────┬──────────┬──────────┐\n",
       "│ BRD4    ┆ HSA      ┆ sEH      │\n",
       "│ ---     ┆ ---      ┆ ---      │\n",
       "│ f64     ┆ f64      ┆ f64      │\n",
       "╞═════════╪══════════╪══════════╡\n",
       "│ 0.00464 ┆ 0.004148 ┆ 0.007319 │\n",
       "└─────────┴──────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 14\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004642</td><td>0.004117</td><td>0.007344</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬──────────┬──────────┐\n",
       "│ BRD4     ┆ HSA      ┆ sEH      │\n",
       "│ ---      ┆ ---      ┆ ---      │\n",
       "│ f64      ┆ f64      ┆ f64      │\n",
       "╞══════════╪══════════╪══════════╡\n",
       "│ 0.004642 ┆ 0.004117 ┆ 0.007344 │\n",
       "└──────────┴──────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 15\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004703</td><td>0.004149</td><td>0.007319</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬──────────┬──────────┐\n",
       "│ BRD4     ┆ HSA      ┆ sEH      │\n",
       "│ ---      ┆ ---      ┆ ---      │\n",
       "│ f64      ┆ f64      ┆ f64      │\n",
       "╞══════════╪══════════╪══════════╡\n",
       "│ 0.004703 ┆ 0.004149 ┆ 0.007319 │\n",
       "└──────────┴──────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 16\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004616</td><td>0.00413</td><td>0.007379</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬─────────┬──────────┐\n",
       "│ BRD4     ┆ HSA     ┆ sEH      │\n",
       "│ ---      ┆ ---     ┆ ---      │\n",
       "│ f64      ┆ f64     ┆ f64      │\n",
       "╞══════════╪═════════╪══════════╡\n",
       "│ 0.004616 ┆ 0.00413 ┆ 0.007379 │\n",
       "└──────────┴─────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 17\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004616</td><td>0.00418</td><td>0.00742</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬─────────┬─────────┐\n",
       "│ BRD4     ┆ HSA     ┆ sEH     │\n",
       "│ ---      ┆ ---     ┆ ---     │\n",
       "│ f64      ┆ f64     ┆ f64     │\n",
       "╞══════════╪═════════╪═════════╡\n",
       "│ 0.004616 ┆ 0.00418 ┆ 0.00742 │\n",
       "└──────────┴─────────┴─────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 18\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.004645</td><td>0.004099</td><td>0.00739</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌──────────┬──────────┬─────────┐\n",
       "│ BRD4     ┆ HSA      ┆ sEH     │\n",
       "│ ---      ┆ ---      ┆ ---     │\n",
       "│ f64      ┆ f64      ┆ f64     │\n",
       "╞══════════╪══════════╪═════════╡\n",
       "│ 0.004645 ┆ 0.004099 ┆ 0.00739 │\n",
       "└──────────┴──────────┴─────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FOLD 19\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BRD4</th><th>HSA</th><th>sEH</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>0.00466</td><td>0.004149</td><td>0.00735</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 3)\n",
       "┌─────────┬──────────┬─────────┐\n",
       "│ BRD4    ┆ HSA      ┆ sEH     │\n",
       "│ ---     ┆ ---      ┆ ---     │\n",
       "│ f64     ┆ f64      ┆ f64     │\n",
       "╞═════════╪══════════╪═════════╡\n",
       "│ 0.00466 ┆ 0.004149 ┆ 0.00735 │\n",
       "└─────────┴──────────┴─────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "N_FOLDS = 20\n",
    "RANDOM_STATE = 42\n",
    "\n",
    "# CV_NAME = f'skf{N_FOLDS}'\n",
    "# splitter = StratifiedKFold(n_splits=N_FOLDS, shuffle=True, random_state=RANDOM_STATE)\n",
    "\n",
    "CV_NAME = f'kf{N_FOLDS}'\n",
    "splitter = KFold(n_splits=N_FOLDS, shuffle=True, random_state=RANDOM_STATE)\n",
    "\n",
    "\n",
    "fold_meta = {}\n",
    "for fold_idx, (train_idxs, val_idxs) in enumerate(splitter.split(list(range(len(df))), df['label'])):\n",
    "    print('FOLD', fold_idx)\n",
    "    fold_meta[fold_idx] = val_idxs.tolist()\n",
    "    val_df = df[val_idxs]\n",
    "    display(val_df.to_pandas()['label'].hist(log = True))\n",
    "    plt.show()\n",
    "    display(val_df.select(pl.col('BRD4', 'HSA', 'sEH').mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "35b8dca9-fc29-4528-abc9-57c65262ea83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "set()"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(fold_meta[0]).intersection(set(fold_meta[2]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b884de38-d9a5-4b48-8e93-25411f16c62f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4920781\n",
      "4920781\n",
      "4920781\n",
      "4920781\n",
      "4920781\n",
      "4920781\n",
      "4920781\n",
      "4920781\n",
      "4920781\n",
      "4920781\n",
      "4920780\n",
      "4920780\n",
      "4920780\n",
      "4920780\n",
      "4920780\n",
      "4920780\n",
      "4920780\n",
      "4920780\n",
      "4920780\n",
      "4920780\n"
     ]
    }
   ],
   "source": [
    "for i in range(N_FOLDS): print(len(fold_meta[i]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "734548be-da75-427c-9c25-cf920d4f80d7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "25f35f32-32f8-4cdc-be8b-7a9fc808ec6c",
   "metadata": {},
   "outputs": [],
   "source": [
    "SAVE_PATH = f'/home/dangnh36/datasets/.comp/leash_belka/processed/cv/{CV_NAME}/val.json'\n",
    "os.makedirs(os.path.dirname(SAVE_PATH), exist_ok=True)\n",
    "\n",
    "with open(SAVE_PATH, 'w') as f:\n",
    "    json.dump(fold_meta, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "8afedad6-945e-4eeb-bec2-71acc62acbd3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "}\n",
       "</style>\n",
       "<small>shape: (98_415_610, 6)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>index</th><th>BRD4</th><th>HSA</th><th>sEH</th><th>label</th><th>fold_idx</th></tr><tr><td>u32</td><td>u8</td><td>u8</td><td>u8</td><td>i64</td><td>i32</td></tr></thead><tbody><tr><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>2</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>3</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>4</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>5</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>6</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>7</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>8</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>9</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>98415600</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>98415601</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>98415602</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>98415603</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>98415604</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>98415605</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>98415606</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>98415607</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>98415608</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr><tr><td>98415609</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-1</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (98_415_610, 6)\n",
       "┌──────────┬──────┬─────┬─────┬───────┬──────────┐\n",
       "│ index    ┆ BRD4 ┆ HSA ┆ sEH ┆ label ┆ fold_idx │\n",
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       "│ 9        ┆ 0    ┆ 0   ┆ 0   ┆ 0     ┆ -1       │\n",
       "│ …        ┆ …    ┆ …   ┆ …   ┆ …     ┆ …        │\n",
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       "│ 98415608 ┆ 0    ┆ 0   ┆ 0   ┆ 0     ┆ -1       │\n",
       "│ 98415609 ┆ 0    ┆ 0   ┆ 0   ┆ 0     ┆ -1       │\n",
       "└──────────┴──────┴─────┴─────┴───────┴──────────┘"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_df = df.with_row_index('index').with_columns(pl.lit(-1).alias('fold_idx'))\n",
    "cv_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "4c91c2a5-293a-4b53-9d69-0145043aed95",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "}\n",
       "</style>\n",
       "<small>shape: (98_415_610, 6)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>index</th><th>BRD4</th><th>HSA</th><th>sEH</th><th>label</th><th>fold_idx</th></tr><tr><td>u32</td><td>u8</td><td>u8</td><td>u8</td><td>i64</td><td>i32</td></tr></thead><tbody><tr><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>10</td></tr><tr><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>15</td></tr><tr><td>2</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1</td></tr><tr><td>3</td><td>0</td><td>0</td><td>0</td><td>0</td><td>10</td></tr><tr><td>4</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>5</td><td>0</td><td>0</td><td>0</td><td>0</td><td>7</td></tr><tr><td>6</td><td>0</td><td>0</td><td>0</td><td>0</td><td>8</td></tr><tr><td>7</td><td>0</td><td>0</td><td>0</td><td>0</td><td>16</td></tr><tr><td>8</td><td>0</td><td>0</td><td>0</td><td>0</td><td>10</td></tr><tr><td>9</td><td>0</td><td>0</td><td>0</td><td>0</td><td>12</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>98415600</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td></tr><tr><td>98415601</td><td>0</td><td>0</td><td>0</td><td>0</td><td>12</td></tr><tr><td>98415602</td><td>0</td><td>0</td><td>0</td><td>0</td><td>11</td></tr><tr><td>98415603</td><td>0</td><td>0</td><td>0</td><td>0</td><td>12</td></tr><tr><td>98415604</td><td>0</td><td>0</td><td>0</td><td>0</td><td>15</td></tr><tr><td>98415605</td><td>0</td><td>0</td><td>0</td><td>0</td><td>8</td></tr><tr><td>98415606</td><td>0</td><td>0</td><td>0</td><td>0</td><td>5</td></tr><tr><td>98415607</td><td>0</td><td>0</td><td>0</td><td>0</td><td>7</td></tr><tr><td>98415608</td><td>0</td><td>0</td><td>0</td><td>0</td><td>12</td></tr><tr><td>98415609</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (98_415_610, 6)\n",
       "┌──────────┬──────┬─────┬─────┬───────┬──────────┐\n",
       "│ index    ┆ BRD4 ┆ HSA ┆ sEH ┆ label ┆ fold_idx │\n",
       "│ ---      ┆ ---  ┆ --- ┆ --- ┆ ---   ┆ ---      │\n",
       "│ u32      ┆ u8   ┆ u8  ┆ u8  ┆ i64   ┆ i32      │\n",
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       "│ 9        ┆ 0    ┆ 0   ┆ 0   ┆ 0     ┆ 12       │\n",
       "│ …        ┆ …    ┆ …   ┆ …   ┆ …     ┆ …        │\n",
       "│ 98415600 ┆ 0    ┆ 0   ┆ 0   ┆ 0     ┆ 13       │\n",
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       "└──────────┴──────┴─────┴─────┴───────┴──────────┘"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for fold_idx, val_idxs in fold_meta.items():\n",
    "    cv_df[val_idxs, 'fold_idx'] = fold_idx\n",
    "cv_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "8e243582-5d9a-4ca3-8ea2-5099ec75dc1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 1)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>fold_idx</th></tr><tr><td>u32</td></tr></thead><tbody><tr><td>20</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 1)\n",
       "┌──────────┐\n",
       "│ fold_idx │\n",
       "│ ---      │\n",
       "│ u32      │\n",
       "╞══════════╡\n",
       "│ 20       │\n",
       "└──────────┘"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_df.select(pl.col('fold_idx').n_unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "5995137a-f83a-4473-b65b-c6343cf90316",
   "metadata": {},
   "outputs": [],
   "source": [
    "cv_df.select('index', 'fold_idx').write_csv(f'/home/dangnh36/datasets/.comp/leash_belka/processed/cv/{CV_NAME}/cv.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "80ccd5bf-0bc7-4612-a280-3f97cf97dffc",
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