Type | Name | |
---|---|---|
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.