Enhancing Feature Engineering with SHAP Values

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#SHAP #values provide us with an understanding of the impact each feature has on the model’s predictions. Read how @nilotpalc computes SHAP values with #KNIME, relying on the #AutoML component, the #SHAP loops and the #Dependence #Plot to visualize results. Enjoy the data story!

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This contributes so much to the explainability of machine learning models!

If you want to learn more techniques like SHAP, make sure to have a look at the XAI booklet available at KNIME Press!
Download here: eXplainable AI: Interpreting Machine Learning with XAI | KNIME

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