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04_​SHAP_​and_​Shapley_​Values

SHAP and Shapley Values Example

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.

Disclaimer: workflow still under development

This worflow shows how to use SHAP and Shapley Values Loop nodes and creates Stacked Bar Charts similar to Force Plots for you to compare theexplanations. using k-means to summarize the data to n prototypes rowextracts modelselects 1 instanceusing SHAP Summarizer Sampling weightcached modelnew data to predict and explainvalidation data SHAP Summarizer Cell To Model Row Filter Shapley ValuesLoop End SHAP Loop End Visually CompareExplanations Shapley ValuesLoop Start SHAP Loop Start Random ForestPredictor Random ForestPredictor Table Reader Table Reader Table Reader This worflow shows how to use SHAP and Shapley Values Loop nodes and creates Stacked Bar Charts similar to Force Plots for you to compare theexplanations. using k-means to summarize the data to n prototypes rowextracts modelselects 1 instanceusing SHAP Summarizer Sampling weightcached modelnew data to predict and explainvalidation dataSHAP Summarizer Cell To Model Row Filter Shapley ValuesLoop End SHAP Loop End Visually CompareExplanations Shapley ValuesLoop Start SHAP Loop Start Random ForestPredictor Random ForestPredictor Table Reader Table Reader Table Reader

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: simon
Created at: 2018-05-15
On NodePit since: 2020-02-11
Last update: 2026-04-02
Created with KNIME version: v4.6.0
Tags: machine learning interpretabilitymliforce plotShapleyshapshapley value

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