HybridFS

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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Description file content

Package
HybridFS
Title
A Hybrid Filter-Wrapper Feature Selection Method
Version
0.1.2
Description
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.
Depends
R (>= 3.4.1)
License
MIT + file LICENSE
Encoding
UTF-8
LazyData
true
RoxygenNote
6.0.1
Imports
FSelector, caTools, woeBinning, ROCR, InformationValue
NeedsCompilation
no
Packaged
2017-10-11 08:58:47 UTC; yamini.pandari
Author
Yamini Pandari [aut, cre], Prashanth Thangavel [aut], Hemanth Senthamaraikannan [aut], Sivaranjani Jagadeeswaran [aut], Thirumaalavan Elumalai [aut]
Maintainer
Yamini Pandari
Repository
CRAN
Date/Publication
2017-10-11 17:18:57 UTC

install.packages('HybridFS')

0.1.2

2 months ago

Yamini Pandari

MIT + file LICENSE

Depends on

R (>= 3.4.1)

Imports

FSelector, caTools, woeBinning, ROCR, InformationValue

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