Boruta: A wrapper algorithm for all-relevant feature selection

Boruta is an all-relevant feature selection wrapper algorithm. It finds relevant features by comparing original attributes' importance with importance achievable at random, estimated using their permuted copies.

Version: 3.0.0
Depends: R (≥ 2.0.0), randomForest, rFerns
Suggests: mlbench
Published: 2013-12-04
Author: Miron Bartosz Kursa [aut, cre], Witold Remigiusz Rudnicki [aut]
Maintainer: Miron Bartosz Kursa <M.Kursa at icm.edu.pl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: Boruta citation info
Materials: NEWS
In views: MachineLearning
CRAN checks: Boruta results

Downloads:

Reference manual: Boruta.pdf
Package source: Boruta_3.0.0.tar.gz
MacOS X binary: Boruta_3.0.0.tgz
Windows binary: Boruta_3.0.0.zip
Old sources: Boruta archive

Reverse dependencies:

Reverse imports: bootfs
Reverse suggests: fscaret