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ML_​Supervised_​DecisionTree

Logistic Regression

This workflow is an example of how to build a basic prediction / classification model using logistic regression.

URL: Logistic Regression Node: Algorithm Settings https://youtu.be/AclQdjxpGA0

CSV Reader
Row Filter
Evaluating model performance
Scorer (JavaScript)
Decision Tree Predictor
Decision Tree Learner
Decision Tree View (JavaScript) (legacy)
80% for training set20% for testing set
Table Partitioner

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: 2017-06-20
On NodePit since: 2025-10-11
Last update: 2025-10-11
Created with KNIME version: v5.7.0
Tags: classificationmachine learningpredictionanalyticsKNIMElogistic regressionlogitdata science

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