SHAP and Shapley Values Loop Nodes with AutoML (Regression)

This worflow shows how to use SHAP and Shapley Values Loop nodes and it creates Stacked Bar Charts similar to Force Plots for you to compare and understand the explanations. SHAP algorithm needs a smaller table to represent the validation set. This is achieved with the SHAP Summarizer Component.

This workflow is trained using AutoML (Regression) component.

External resources

• SHAP (SHapley Additive exPlanations) - Python Library on GitHub
• Explaining prediction models and individual predictions with feature contributions, Štrumbelj and Kononenko, 2014
• Verified Components
• SHAP Dependence Plot (document)