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Exercise 1 Training the Decision Tree Algorithm

This workflow shows a hands-on exercise in the L4-ML Introduction to Machine Learning Algorithms self-paced course

Nodes

  • Column Filter17 ×
  • Column Renamer10 ×
  • Partitioning6 ×
  • Scorer6 ×
  • Unpivoting6 ×
  • Constant Value Column5 ×
  • Expression5 ×
  • Missing Value5 ×
  • Row Filter5 ×
  • Component Input4 ×
  • Component Output4 ×
  • Decision Tree Learner4 ×
  • Decision Tree Predictor4 ×
  • String Configuration4 ×
  • Column Appender3 ×
  • AttributeSelectedClassifier (3.7)2 ×
  • Feature Selection Filter2 ×
  • Weka Predictor (3.7)2 ×
  • Bar Chart1 ×
  • CSV Reader1 ×
  • Concatenate1 ×
  • Correlation Filter1 ×
  • Feature Selection Loop End1 ×
  • Feature Selection Loop Start (1:1)1 ×
  • Linear Correlation1 ×
  • One to Many1 ×
  • Python View1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Expressions
  • FeatureKNIME Python Integration
  • FeatureKNIME Quick Forms
  • FeatureKNIME Views
  • Show all 6 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: maarit.widmann
Created at: 2022-03-01
On NodePit since: 2025-01-06
Last update: 2025-06-24
Created with KNIME version: v5.4.0
Tags: educationL4-ML

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