Hub
Pricing About
WorkflowWorkflow

Analyzing Churn Models with the Binary Classification Inspector

Machine LearningClassificationData MiningDecision TreeBinary Classification Inspector
+5
A
Draft Latest edits on 
Nov 21, 2019 10:33 AM
Drag & drop
Like
Download workflow
Workflow preview
This workflow demonstrates the functionality of the Binary Classification Inspector node. It produces a complex view made of four different charts in order to compare, optimize and select predictions of different binary classifiers. It is possible to compare a number of binary classifier machine learning models predicting the same target on the same test data using performance metrics and ROC curves. Here four machine learning models are used: Naive Bayes, Random Forest, Gradient Boosted Trees, Logistic Regression and Decision Tree. By moving a threshold slider in the interactive view you can optimize a model by finding the best threshold given a performance metric of your choice. It is possible to interactively select a given type of predictions (e.g. true positives) of one of the models and export them at the output of the node
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

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

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime
  • Go to item
    KNIME Excel SupportTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime
  • Go to item
    KNIME Machine Learning Interpretability ExtensionTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    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