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02_​SHAP_​and_​Shapley_​Values

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 the explanations. using k-means to summarize the data to n prototypes rowPort 0 : train setPort 1: test set"Shapley Values Order ID" from Double to Long SHAP : Look at the viewof this componentusing SHAP Summarizer Sampling weightSampled 100 rows"SHAP Order ID" from Double to Longexecute up-streambefore configurationShapley Values : Look at the viewof this componentContainer Tracking DataSHAP Summarizer Partitioning Column Expressions Dependence Plot Shapley ValuesLoop End SHAP Loop End Shapley ValuesLoop Start SHAP Loop Start Row Sampling Post-Processing Workflow Executor Workflow Executor Column Expressions AutoML (Regression) Dependence Plot Small MultiplesView Excel Reader Pre-Processing Metanode 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 the explanations. using k-means to summarize the data to n prototypes rowPort 0 : train setPort 1: test set"Shapley Values Order ID" from Double to Long SHAP : Look at the viewof this componentusing SHAP Summarizer Sampling weightSampled 100 rows"SHAP Order ID" from Double to Longexecute up-streambefore configurationShapley Values : Look at the viewof this componentContainer Tracking DataSHAP Summarizer Partitioning Column Expressions Dependence Plot Shapley ValuesLoop End SHAP Loop End Shapley ValuesLoop Start SHAP Loop Start Row Sampling Post-Processing Workflow Executor Workflow Executor Column Expressions AutoML (Regression) Dependence Plot Small MultiplesView Excel Reader Pre-Processing Metanode

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Created by: simon
Created at: 2018-05-15
On NodePit since: 2022-11-21
Last update: 2024-04-25
Created with KNIME version: v4.7.0

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