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  • 02_SHAP_and_Shapley_Values
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SHAP and Shapley Values Loop Nodes with AutoML (Regression)

Machine learning interpretability Mli Force plot Shapley Shap
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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 Dependence Plot (document)
  • Verified Components
  • Explaining prediction models and individual predictions with feature contributions, Štrumbelj and Kononenko, 2014
  • SHAP (SHapley Additive exPlanations) - Python Library on GitHub

Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.0
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