A Hybrid Filter-Wrapper Feature Selection Method

A hybrid method of feature selection which combines both filter and wrapper methods. The first level involves feature reduction based on some of the important filter methods while the second level involves feature subset selection as in a wrapper method. Comparative analysis with the existing feature selection packages shows this package results in higher classification accuracy, reduced processing time and improved data handling capacity.


Reference manual

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0.1.3 by Yamini Pandari, a year ago

Browse source code at https://github.com/cran/HybridFS

Authors: Yamini Pandari [aut, cre] , Prashanth Thangavel [aut] , Hemanth Senthamaraikannan [aut] , Sivaranjani Jagadeeswaran [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports FSelector, caTools, woeBinning, ROCR, InformationValue

See at CRAN