Hub
Pricing About
WorkflowWorkflow

08 Decision Tree Model - Solution

ClassificationDecision treeScorer
terbe profile image
Draft Latest edits on 
Oct 23, 2020 9:33 AM
Drag & drop
Like
Download workflow
Workflow preview
Solution to an exercise for training a decision tree model. Train, apply, and evaluate a decision tree model. CHECK YOUR ANSWERS: The overall accuracy of the model is around 70%.

External resources

  • Decision Tree Learner Node: Algorithm Settings
  • Drag & Drop Data Science
  • The Learner-Predictor Construct
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.0
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • Go to item
    KNIME JavaScript Views (Labs)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • Go to item
    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    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
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits