Python, Libraries, Machine Learning, Shap, Explanation.
individuals. The idea behind SHAP is to assign each feature of the input data a value that represents its contribution to the model’s output. The method calculates the Shapley values for each feature, which are a measure of the feature’s marginal contribution to the model’s prediction. The SHAP