Hub
Pricing About
WorkflowWorkflow

Impact of Regularization in case of Logistic Regression

RegularizationGaussLaplaceL1L2
+3
kathrin profile image
Draft Latest edits on 
Nov 2, 2017 4:40 PM
Drag & drop
Like
Download workflow
Workflow preview
The goal of this workflow is to analyze the impact of different priors in case of the logistic regression. The workflow therefore first reads the internet advertisement dataset. Then it creates a subset with more columns than rows, favouring overfitting. In the next step three models with different prior options are trained. In the last step the results are summarized in an interactive javascript view.
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 4.0.1
  • Go to item
    KNIME CoreTrusted extension

    KNIME AG, Zurich, Switzerland

    Versions 3.7.2, 4.0.1

    knime
  • Go to item
    KNIME Data GenerationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.0

    knime
  • Go to item
    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.1

    knime
  • Go to item
    KNIME Math Expression (JEP)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.0

    knime
  • Go to item
    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.1

    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