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07_​Decision_​Tree

Training a Decision Tree

This workflow is an example of how to build a basic prediction / classification model using a decision tree. Dataset describes wine chemical features. Output class is wine color: red/white.

URL: Decision Tree Node: Algorithm Settings https://youtu.be/CSwM92yTrJw

Decision Tree: Training This workflow is an example of how to build a basic prediction / classification model using a decision tree. Dataset describes wine chemical features. Output class is wine color: red/white
Read the data set
Table Reader (deprecated)
80% for training 20 % for testing
Table Partitioner
Feature Selection Loop End
Decision Tree Predictor
Table View
Scorer (deprecated)
Scatter Plot
Decision Tree Learner
Normalizer
Feature Selection Loop Start (1:1)
Decision Tree View (JavaScript) (legacy)

Nodes

Extensions

Links

Download

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

Download Workflow
Created by: kathrinmelcher
Created at: 2017-09-14
On NodePit since: 2025-12-27
Last update: 2025-12-27
Created with KNIME version: v5.9.0
Tags: classificationmachine learningpredictionanalyticsKNIMEdecision treedata scienceC4.5CART

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