01_Global_Feature_Importance_Example | |||
02_XAI_Credit_Scoring_Example | |||
03_XAI_Credit_Scoring_Example_Global_Feature_Importance | |||
04_XAI_Credit_Scoring_Example_Local_Explanation_View | |||
05_XAI_Credit_Scoring_Example_XAI_View | |||
06_Global_Feature_Importance_for_a_Custom_Model |
Example solutions on application of explainable AI techniques to evaluate machine learning models. The techniques include global and local feature importance, SHAP, partial dependence plot and individual conditional expectation plot.