SHapley Additive exPlanations or SHAP : What is it ?
SHapley Additive exPlanations, more commonly known as SHAP, is used to explain the output of Machine Learning models. It is based on Shapley values, which use game theory to assign credit for a model’s prediction to each feature or feature value. The way SHAP works is to decompose the output of a model by the […]
