SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the classic Shapley values from game theory. https://t.co/Lp4240ZGJQ https://t.co/EWXjPquKM5
— Philip Vollet (@philipvollet) Feb 1, 2022
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January 31, 2022 at 11:25PM
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