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  8. RR_TEST2RR_TEST2
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RR_​TEST2

Nodes

  • X-Partitioner25 ×
  • Scorer24 ×
  • X-Aggregator24 ×
  • Column Filter17 ×
  • Rule Engine11 ×
  • Math Formula4 ×
  • Math Formula (Multi Column)4 ×
  • Gradient Boosted Trees Learner3 ×
  • Gradient Boosted Trees Predictor3 ×
  • Keras Dense Layer3 ×
  • Normalizer3 ×
  • PNN Learner (DDA)3 ×
  • PNN Predictor3 ×
  • Parameter Optimization Loop End3 ×
  • Parameter Optimization Loop Start3 ×
  • Table Row to Variable3 ×
  • Decision Tree Learner2 ×
  • Decision Tree Predictor2 ×
  • Excel Reader2 ×
  • Fuzzy Rule Learner2 ×
  • Fuzzy Rule Predictor2 ×
  • Joiner2 ×
  • LIBSVMLearner2 ×
  • LIBSVMPredictor2 ×
  • Missing Value2 ×
  • Naive Bayes Learner2 ×
  • Naive Bayes Predictor2 ×
  • ROC Curve (JavaScript)2 ×
  • Random Forest Learner2 ×
  • Random Forest Predictor2 ×
  • Row Filter2 ×
  • SOTA Learner2 ×
  • SOTA Predictor2 ×
  • SVM Learner2 ×
  • SVM Predictor2 ×
  • Tree Ensemble Learner2 ×
  • Tree Ensemble Predictor2 ×
  • XGBoost Predictor2 ×
  • XGBoost Tree Ensemble Learner2 ×
  • Column Appender1 ×
  • Keras Input Layer1 ×
  • Keras Network Executor1 ×
  • Keras Network Learner1 ×
  • Keras Set Output Layers1 ×
  • ROC Curve1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Deep Learning - Keras Integration
  • FeatureKNIME Ensemble Learning Wrappers
  • FeatureKNIME Excel Support
  • FeatureKNIME JavaScript Views
  • Show all 11 modules

Links

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Download

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

Download Workflow
Created by: VISHNU A
Created at: 2025-06-12
On NodePit since: 2025-06-14
Last update: 2025-08-12
Created with KNIME version: v5.4.4

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