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  7. students V5students V5
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students V5

Node 56Node 57Node 61Node 66Node 67Node 72Data Access, Cleaningand Partioning Decision Tree Model Random Forest Model Cross validation Gradient BoostedTrees Learner Exporting the BestPerforming Model Node 56Node 57Node 61Node 66Node 67Node 72Data Access, Cleaningand Partioning Decision Tree Model Random Forest Model Cross validation 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 ×
  • Random Forest Learner3 ×
  • Random Forest Predictor3 ×
  • Gradient Boosted Trees Learner2 ×
  • Gradient Boosted Trees Predictor2 ×
  • Parameter Optimization Loop End2 ×
  • Parameter Optimization Loop Start2 ×
  • CSV Reader1 ×
  • Cell To Model1 ×
  • Color Manager1 ×
  • Concatenate1 ×
  • Constant Value Column Filter1 ×
  • Decision Tree Learner1 ×
  • Decision Tree Predictor1 ×
  • Missing Value1 ×
  • Missing Value Column Filter1 ×
  • Model Writer1 ×
  • Partitioning1 ×
  • Top k Row Filter1 ×
  • X-Aggregator1 ×
  • X-Partitioner1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Ensemble Learning Wrappers
  • FeatureKNIME JavaScript Views (Labs)
  • FeatureKNIME Optimization extension

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: 2022-03-08
Last update: 2026-01-23
Created with KNIME version: v4.5.1

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