shap by shap

A game theoretic approach to explain the output of any machine learning model.

updated at June 16, 2024, 4:40 a.m.

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shapash by MAIF

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

updated at June 12, 2024, 6:15 a.m.

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