Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • knime
  • Spaces
  • Examples
  • 04_Analytics
  • 11_Optimization
  • 06_Parameter_Optimization_two_examples
WorkflowWorkflow

2 Examples for Parameter Optimization Loops

Parameter optimization Optimization Machine learning Onboarding Data Science

Last edited: 

Drag & drop
Like
Download workflow
Copy short link
Workflow preview
This workflow shows 2 examples of parameter optimization in a decision tree and in a logistic regression. In the decision tree we optimize the minimum number of records per node within a range [2,15] with step 1. In the Logistic Regression we optimize step size in (0,1] step =0.1 and variance in (0, 5] step = 0.1

External resources

  • Parameter Optimization

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.0
  • Go to item
    KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • Go to item
    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • Go to item
    KNIME Optimization extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  1. Go to item
  2. Go to item
  3. Go to item
  4. Go to item
  5. Go to item
  6. Go to item

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
Hardturmstrasse 66
8005 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 Server
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits