Boruta: Wrapper Algorithm for All Relevant Feature Selection

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: 5.1.0
Depends: ranger
Suggests: mlbench, rFerns, randomForest
Published: 2016-08-16
Author: Miron B. Kursa [aut, cre], Witold R. Rudnicki [aut]
Maintainer: Miron B. Kursa <M.Kursa at icm.edu.pl>
BugReports: https://github.com/mbq/Boruta/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://m2.icm.edu.pl/boruta/
NeedsCompilation: no
Citation: Boruta citation info
Materials: NEWS
In views: MachineLearning
CRAN checks: Boruta results

Downloads:

Reference manual: Boruta.pdf
Package source: Boruta_5.1.0.tar.gz
Windows binaries: r-devel: Boruta_5.1.0.zip, r-release: Boruta_5.1.0.zip, r-oldrel: Boruta_5.1.0.zip
OS X Mavericks binaries: r-release: Boruta_5.1.0.tgz, r-oldrel: Boruta_5.1.0.tgz
Old sources: Boruta archive

Reverse dependencies:

Reverse suggests: fscaret