This RapidMiner-plugin consists of operators for feature selection and classification - mainly on high-dimensional (microarray-) data - and some helper-classes/operators.

Features

  • Ensemble Feature Selection
  • Recursive Feature Elimination (RFE, SVM-RFE))
  • Significance Analysis for Microarrays (SAM)
  • Minimum Redundancy Maximum Relevance Feature Selection (MRMR)
  • Correlation Based Feature Selection (CFS ~= MRMR)
  • Feature Selection
  • Classification

Project Samples

Project Activity

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Categories

Machine Learning

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RapidMiner Feature Selection Extension Web Site

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User Reviews

  • Easy for use.
    1 user found this review helpful.
  • To install this, download it and stick it in the lib/plugins folder.
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Additional Project Details

Languages

English

Intended Audience

Advanced End Users, Developers, Information Technology, Science/Research

User Interface

Java SWT, Plugins

Registered

2010-12-03