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
Categories
Machine LearningFollow RapidMiner Feature Selection Extension
Other Useful Business Software
Go From AI Idea to AI App Fast
Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
Rate This Project
Login To Rate This Project
User Reviews
-
Easy for use.
-
To install this, download it and stick it in the lib/plugins folder.