Hub
Pricing About
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Community Hub
  • Search

5 results

Filter
Filter by tag
Weka (3.7)
Analytics Classification Algorithms Integrations Weka Meta Rules Functions
  1. Go to item
    Node / Learner
    ClassificationViaRegression (3.7)
    Analytics Integrations Weka
    +3
    Class for doing classification using regression methods Class is binarized and one regression model is built for each class value…
    0
    knime
  2. Go to item
    Node / Learner
    PART (3.7)
    Analytics Integrations Weka
    +3
    Class for generating a PART decision list Uses separate-and-conquer.Builds a partial C4.5 decision tree in each iteration and mak…
    0
    knime
  3. Go to item
    Node / Learner
    Dagging (3.7)
    Analytics Integrations Weka
    +3
    This meta classifier creates a number of disjoint, stratified folds out of the data and feeds each chunk of data to a copy of the…
    0
    knime
  4. Go to item
    Node / Learner
    M5Rules (3.7)
    Analytics Integrations Weka
    +3
    Generates a decision list for regression problems using separate-and-conquer In each iteration it builds a model tree using M5 an…
    0
    knime
  5. Go to item
    Node / Learner
    PaceRegression (3.7)
    Analytics Integrations Weka
    +3
    Class for building pace regression linear models and using them for prediction Under regularity conditions, pace regression is pr…
    0
    knime

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