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Node 56Data Access, Cleaningand Partioning Decision Tree Model Random Forest Model Gradient BoostedTrees Learner Exporting the BestPerforming Model Node 56Data Access, Cleaningand Partioning Decision Tree Model Random Forest Model Gradient BoostedTrees Learner Exporting the BestPerforming Model

Nodes

  • Scorer (JavaScript)5 ×
  • Table Row to Variable4 ×
  • Column Appender3 ×
  • Column Filter3 ×
  • Constant Value Column3 ×
  • Model to Cell3 ×
  • Scatter Plot (JavaScript)3 ×
  • Gradient Boosted Trees Learner2 ×
  • Gradient Boosted Trees Predictor2 ×
  • Parameter Optimization Loop End2 ×
  • Parameter Optimization Loop Start2 ×
  • Random Forest Learner2 ×
  • Random Forest Predictor2 ×
  • CSV Reader1 ×
  • Cell To Model1 ×
  • Color Manager1 ×
  • Concatenate1 ×
  • Constant Value Column Filter1 ×
  • Data Explorer (JavaScript)1 ×
  • Decision Tree Learner1 ×
  • Decision Tree Predictor1 ×
  • Missing Value1 ×
  • Missing Value Column Filter1 ×
  • Model Writer1 ×
  • Partitioning1 ×
  • Rank Correlation1 ×
  • Top k Row Filter1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Ensemble Learning Wrappers
  • FeatureKNIME JavaScript Views
  • FeatureKNIME JavaScript Views (Labs)
  • FeatureKNIME Optimization extension
  • Show all 6 modules

Links

  • No links available

Download

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

Download Workflow
Created by: Johanna
Created at: 2022-03-04
On NodePit since: 2022-03-09
Last update: 2026-01-23
Created with KNIME version: v4.5.1

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