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: 3.1.0
Depends: R (≥ 2.0.0), randomForest, rFerns
Suggests: mlbench
Published: 2014-06-08
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_3.1.0.tar.gz
Windows binaries: r-devel: Boruta_3.1.0.zip, r-release: Boruta_3.1.0.zip, r-oldrel: Boruta_3.1.0.zip
OS X Snow Leopard binaries: r-release: Boruta_3.1.0.tgz, r-oldrel: Boruta_3.1.0.tgz
OS X Mavericks binaries: r-release: Boruta_3.1.0.tgz
Old sources: Boruta archive

Reverse dependencies:

Reverse imports: bootfs
Reverse suggests: fscaret