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.
Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost
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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.