Icon

06_​Global_​Feature_​Importance_​for_​a_​Custom_​Model

Compute and Visualize Global Feature Importance for a Custom Model
TrainingPredictionPreprocessingTop: train setBottom: test setWine qualityhistorical dataInspect global feature importancefor the wine quality classificationRProp MLP Learner MultiLayerPerceptronPredictor CaptureWorkflow End CaptureWorkflow Start Normalizer Normalizer (Apply) Partitioning CSV Reader Global FeatureImportance TrainingPredictionPreprocessingTop: train setBottom: test setWine qualityhistorical dataInspect global feature importancefor the wine quality classificationRProp MLP Learner MultiLayerPerceptronPredictor CaptureWorkflow End CaptureWorkflow Start Normalizer Normalizer (Apply) Partitioning CSV Reader Global FeatureImportance

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: paolotamag
Created at: 2020-06-24
On NodePit since: 2021-09-28
Last update: 2024-04-27
Created with KNIME version: v4.4.1
Tags: guided analyticsintegrated deploymentinterpretabilityglobal surrogate modelspermutation feature importancesurrogate random forestsurrogate GLMsurrogate decision treeglobal feature importancexAI

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!