explainable-boosting-machine

Here are 3 public repositories matching this topic...

srilekhatv / Loan-Default-Interpretability

Predicting loan defaults using Random Forest with SMOTE, SHAP, LIME, and fairness evaluation via AIF360 and Fairlearn

data-science machine-learning anchors random-forest-classifier explainable-ai explainable-ml interpretable-machine-learning aif360 alibi counterfactuals explainable-boosting-machine

Updated Aug 28, 2025
Jupyter Notebook

sahilmate / ebm-breast-cancer-classifier

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This repository implements an Explainable Boosting Machine (EBM) model for breast cancer classification using scikit-learn and interpret. The project includes data preprocessing, model training, accuracy evaluation, and feature importance visualization.

machine-learning scikit-learn data-visualization interpret feature-importance breast-cancer-classification explainable-boosting-machine

Updated Jul 24, 2024
Jupyter Notebook

tk-yasuno / health-ebm-classification

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An AI-powered bridge health classification system that automatically categorizes bridge inspection reports into health levels using machine learning. The system leverages Explainable Boosting Machine (EBM) to achieve high accuracy while maintaining interpretability.

text-mining document-classification ebm decision-support-system predictive-maintenance cbm interpretable-ml explainable-ai report-analysis structural-health-monitoring classification-models bridge-health bridge-maintenance bridge-inspection explainable-boosting-machine infrastructure-inspection civil-engineering-ai

Updated Oct 3, 2025
Python

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