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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
Decision Tree Learner
Decision Tree Predictor
Scorer (deprecated)
Decision Tree View (JavaScript) (deprecated)

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: 2026-05-20
Last update: 2026-05-20
Created with KNIME version: v5.11.0
Tags: classificationmachine learningpredictionanalyticsKNIMEdecision treedata scienceC4.5CART

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