Covering Feature Selection Operator

TheĀ operator selects a small set of features enabling that a complete and consistent classifier for all examples may be constructed.

The operator supports construction of redundant feature sets so that more than one complete and consistent hypothesis may be generated and that outliers, examples enabling reduction of the size of the minimal set of features, may be detected and eliminated from the set of examples. The included help file describes theoretical basis of the implemented algorithm and specifies the available parameters.

Installation: Put the jar file in "lib/plugins".

rapidminer-CFSwOD.jar28.19 KB
CFSwOD-description.doc35.5 KB