SHAP values (SHapley Additive exPlanations) is a method based on cooperative game theory and used to increase transparency and interpretability of machine ...
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation ...
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation ...
Sep 23, 2021 · The Shapley value is a method used in game theory that involves fairly distributing both gains and costs to actors working in a coalition. Since each actor contributes differently to the coalition, the Shapley value makes sure that each actor gets a fair share depending on how much they contribute. Image by Author.
17.01.2022 · shap_values = explainer (X_test) The shap_values variable will have three attributes: .values, .base_values and .data. The .data attribute is simply a copy of the input data, .base_values is the expected value of the target, or the average target value of all the train data, and .values are the SHAP values for each example.