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04_​Meassuring_​Variable_​Importance

Variable Importance

This workflow calculates how important each variable is for a correct classification.

Variable Importance This workflow calculates how important each variable is for a correct classification. Visualize Variables Generate someartificial dataSplit training and testk fold cross validation Data Generator Variable Importance ReferenceColumn Filter Get x columns withlowest accuracy Variable Importance Get x columns withbiggest error ReferenceColumn Filter Normalizer Sorter RowID Transpose RowID Column Filter Variable Importance This workflow calculates how important each variable is for a correct classification. Visualize Variables Generate someartificial dataSplit training and testk fold cross validationData Generator Variable Importance ReferenceColumn Filter Get x columns withlowest accuracy Variable Importance Get x columns withbiggest error ReferenceColumn Filter Normalizer Sorter RowID Transpose RowID Column Filter

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

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Created by: iris.adae
Created at: 2015-11-11
On NodePit since: 2019-07-12
Last update: 2024-04-25
Created with KNIME version: v4.1.0

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