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.


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install.packages("HybridFS")

0.1.3 by Yamini Pandari, 2 months 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