Icon

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.

Decision Tree: Training 决策树模型这是一个基本的决策树，这个工作流是如何建立一个基本的预测/分类模型的例子。Dataset describes wine chemical features. Output class is wine color: red/white Read the data set80% for training 20 % for testing Table Reader(deprecated) Partitioning DecisionTree Learner Decision TreePredictor Scorer (deprecated) Decision Tree View Decision Tree: Training 决策树模型这是一个基本的决策树，这个工作流是如何建立一个基本的预测/分类模型的例子。Dataset describes wine chemical features. Output class is wine color: red/white Read the data set80% for training 20 % for testing Table Reader(deprecated) Partitioning DecisionTree Learner Decision TreePredictor Scorer (deprecated) Decision Tree View

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: 2026-02-06
Last update: 2026-02-11
Created with KNIME version: v4.7.3
Tags: classification machine learning prediction analytics KNIME decision tree data science C4.5 CART

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!