Hub
Pricing About
WorkflowWorkflow

Finding an Optimal Classification based on Cost and Profit

Classification modelModel evaluationProfitCostAccuracy
+1
knime profile image
VersionV2Latest, created on 
Jan 22, 2025 3:30 PM
Drag & drop
Like
Download workflow
Workflow preview
This workflow trains a classification model using the Linear Regression algorithm. The class prediction is evaluated by overall accuracy and profit statistics. To calculate the profit statistics, classification results are weighted by the values in a predefined profit matrix. The values in the profit matrix depend on the final goal of the classification model.

External resources

  • Scoring Metrics eBook
  • How to Optimize the Classification Threshold
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 5.4.0
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Versions 5.3.1, 5.4.0

    knime profile image
    knime
  • Go to item
    KNIME ExpressionsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

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

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

    knime profile image
    knime
  • Go to item
    KNIME ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

    knime profile image
    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