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First Decision Tree

<p>Simple decision tree used to illustrate how to train a model and how to use it on new data</p>
Train and Evaluate a Decision Tree

First, a Decision Tree model is trained using the provided data. This model is then used to predict outcomes for the same dataset. Finally, the predictions are compared to the actual values to measure how accurately the model performed.

Filter and Predict on a Single Row

Selects a specific row of interest from the data, allows you to review or edit its values, and then uses the trained Decision Tree model to predict the outcome for just that row. This helps you see how the model would classify or score an individual example.

Scorer (JavaScript)
Decision Tree Predictor
Table Creator
Decision Tree Learner
Row Filter
Table Editor (JavaScript) (legacy)
Decision Tree Predictor
Scorer

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: maarit.widmann
Created at: 2022-03-15
On NodePit since: 2026-02-24
Last update: 2026-03-16
Created with KNIME version: v5.10.0
Tags: educationL4-ML

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