RoSHAP is a robust feature-ranking metric that summarizes the distributional properties of SHAP values via bootstrap resampling and asymptotic normality to reward active, strong, and stable features.
Practical guide to <scp>SHAP</scp> analysis: Explaining supervised machine learning model predictions in drug development
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RoSHAP: A Distributional Framework and Robust Metric for Stable Feature Attribution
RoSHAP is a robust feature-ranking metric that summarizes the distributional properties of SHAP values via bootstrap resampling and asymptotic normality to reward active, strong, and stable features.