Hub
Pricing About
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Community Hub
  • kzhqtt
  • Spaces
  • Public
  • WA_Fn-UseC_-IT-Help-Desk
  • Advanced Data Mining
WorkflowWorkflow

Advanced Data Mining - Solution

Tree ensemble Classification Parameter optimization Hillclimbing Cross validation
+2
Kzhqtt profile image

Last edited: 

Drag & drop
Like
Download workflow
Copy short link
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)

Used extensions & nodes

Created with KNIME Analytics Platform version 4.4.0
  • Go to item
    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
  • Go to item
    KNIME Ensemble Learning Wrappers Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
  • Go to item
    KNIME Machine Learning Interpretability Extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

    knime
  • Go to item
    KNIME Optimization extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

    knime
  1. Go to item
  2. Go to item
  3. Go to item
  4. Go to item
  5. Go to item
  6. Go to item
Loading deployments
Loading ad hoc executions

Legal

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

Discussion
Discussions are currently not available, please try again later.

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Business Hub
© 2023 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits