Hub
Pricing About
WorkflowWorkflow

Advanced Data Mining - Solution

Tree ensembleClassificationParameter optimizationHillclimbingCross validation
+2
YT
Draft Latest edits on 
Nov 19, 2024 6:52 AM
Drag & drop
Like
Download workflow
Workflow preview
Solution to the exercise 10 for KNIME User Training - Training a Random Forest model to predict a nominal target column - Evaluating the performance of a classification model - Optimizing parameters of the Random Forest model - Performing the classification multiple times in a cross validation loop

External resources

  • Parameter Optimization for Prediction Models
  • Random Forest
  • Slides (KNIME Analytics Platform Course)
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.0
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime_admin
  • Go to item
    KNIME Ensemble Learning WrappersTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime_admin

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