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  7. Training (without Weka)Training (without Weka)
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Training (without Weka)

Nodes

  • Column Filter25 ×
  • Box Plot11 ×
  • Scorer10 ×
  • Math Formula9 ×
  • ROC Curve8 ×
  • Column Renamer7 ×
  • Random Forest Predictor7 ×
  • Text View7 ×
  • Partitioning5 ×
  • Random Forest Learner5 ×
  • X-Aggregator5 ×
  • X-Partitioner5 ×
  • Component Input4 ×
  • Component Output4 ×
  • Rule Engine4 ×
  • Bar Chart3 ×
  • Color Manager3 ×
  • GroupBy3 ×
  • Joiner3 ×
  • Missing Value Column Filter3 ×
  • Normalizer2 ×
  • Number To String2 ×
  • One to Many2 ×
  • RowID2 ×
  • String Manipulation2 ×
  • Transpose2 ×
  • Column Appender1 ×
  • Decision Tree Learner1 ×
  • Decision Tree Predictor1 ×
  • Density Plot1 ×
  • Duplicate Row Filter1 ×
  • Heatmap1 ×
  • JSON Path1 ×
  • JSON Reader1 ×
  • Logistic Regression Learner1 ×
  • Logistic Regression Predictor1 ×
  • Model Writer1 ×
  • MultiLayerPerceptron Predictor1 ×
  • Naive Bayes Learner1 ×
  • Naive Bayes Predictor1 ×
  • Parameter Optimization Loop End1 ×
  • Parameter Optimization Loop Start1 ×
  • ROC Curve1 ×
  • RProp MLP Learner1 ×
  • Rank Correlation1 ×
  • Row Filter1 ×
  • Row Splitter1 ×
  • Scatter Plot Matrix1 ×
  • String To Number1 ×
  • Table Row to Variable1 ×
  • Table View1 ×
  • Ungroup1 ×
  • Value Selection Widget1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Ensemble Learning Wrappers
  • FeatureKNIME Javasnippet
  • FeatureKNIME JSON-Processing
  • FeatureKNIME Math Expression (JEP)
  • Show all 9 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: davyt
Created at: 2025-01-21
On NodePit since: 2025-03-20
Last update: 2025-06-03
Created with KNIME version: v5.4.2

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