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.
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation ...
SHAP values (SHapley Additive exPlanations) is a method based on cooperative game theory and used to increase transparency and interpretability of machine ...
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.
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation ...