Hub
Pricing About
WorkflowWorkflow

04 Analyze Data by Training a Linear Regression

BeginnerBeginner SpaceGetting StartedData AnalysisMachine Learning
+3
knime profile image
Versionv2.0Latest, created on 
May 11, 2026 3:44 PM
Drag & drop
Like
Download workflow
Workflow preview

Analyze Data: Training a Linear Regression

This workflow is an example of how to train and evaluate a basic machine learning model for a house price prediction task.

In this case, we train and apply a Linear Regression algorithm. However, the Learner-Predictor construct is common to all supervised algorithms.

External resources

  • KNIME Learning Center
  • KNIME Cheat Sheet: Building a KNIME workflow for beginners
  • KNIME Cheat Sheet: Machine learning with KNIME Analytics Platform
  • YouTube: Logistic Regression Learner and Predictor
  • YouTube: Behind the Scenes of Logistic Regression
  • Webinar: KNIME101: Machine Learning for Beginners with KNIME
Loading deploymentsLoading manual runs

Used extensions & nodes

Created with KNIME Analytics Platform version 5.11.0
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.11.0

    knime profile image
    knime

Legal

By using or downloading the workflow, you agree to our terms and conditions.

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2026 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits