Popular GitHub Repositories for Shapley Additive Explanations

An Analysis of Lassa Fever Outbreaks in Nigeria using Machine Learning Models and Shapley Values

The goal of SHAP is to explain the prediction of an instance x by computing the contribution of each feature to the prediction. The SHAP explanation method computes Shapley values from coalitional game theory. The feature values of a data instance act as players in a coalition.