This project develops an explainable AI model for breast cancer detection, emphasizing transparency and feature importance. It uses feature masking, cooperative game theory, and SHAP values to analyze model behavior. The goal is to make predictions interpretable and actionable for medical applications.
python breast-cancer-prediction xai banzhaf-index game-theory-algorithms shapley-value rexplain remove-individual
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Updated
Jan 23, 2025 - Jupyter Notebook