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.
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.