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  7. Combined V_1Combined V_1
  8. Initial Experiments 4Initial Experiments 4
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Initial Experiments 4

Node 2Node 32Node 33Node 37Node 41Node 44Data Accessand Cleaning Decision tree Gradientboosted Trees Naive Bayes XGBoost TreeEnsemble Learner Final modelselection Variable Creator Node 2Node 32Node 33Node 37Node 41Node 44Data Accessand Cleaning Decision tree Gradientboosted Trees Naive Bayes XGBoost TreeEnsemble Learner Final modelselection Variable Creator

Nodes

  • Column Filter11 ×
  • Constant Value Column8 ×
  • Scorer (JavaScript)8 ×
  • Conditional Box Plot7 ×
  • End IF5 ×
  • IF Switch5 ×
  • Rule Engine Variable5 ×
  • Concatenate4 ×
  • Partitioning4 ×
  • Scorer4 ×
  • X-Aggregator4 ×
  • X-Partitioner4 ×
  • Decision Tree Predictor3 ×
  • Gradient Boosted Trees Predictor3 ×
  • Naive Bayes Predictor3 ×
  • XGBoost Predictor3 ×
  • CSV Reader2 ×
  • Decision Tree Learner2 ×
  • Gradient Boosted Trees Learner2 ×
  • Naive Bayes Learner2 ×
  • XGBoost Tree Ensemble Learner2 ×
  • Bar Chart1 ×
  • Box Plot1 ×
  • Cell To Model1 ×
  • Histogram (interactive)1 ×
  • Joiner1 ×
  • Linear Correlation1 ×
  • Math Formula1 ×
  • Missing Value1 ×
  • Model Writer1 ×
  • Normalizer1 ×
  • Numeric Outliers1 ×
  • Sorter1 ×
  • Top k Row Filter1 ×
  • Variable Creator1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Ensemble Learning Wrappers
  • FeatureKNIME JavaScript Views
  • FeatureKNIME JavaScript Views (Labs)
  • FeatureKNIME Javasnippet
  • Show all 8 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: kamen
Created at: 2022-02-17
On NodePit since: 2022-03-04
Last update: 2025-05-22
Created with KNIME version: v4.5.1

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