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: | 2.1.0 |
| Depends: | R (≥ 2.0.0), randomForest |
| Suggests: | mlbench, rFerns |
| Published: | 2013-04-25 |
| Author: | Miron B. Kursa and Witold R. Rudnicki |
| Maintainer: | Miron B. Kursa <M.Kursa at icm.edu.pl> |
| License: | GPL (≥ 2) |
| NeedsCompilation: | no |
| Citation: | Boruta citation info |
| In views: | MachineLearning |
| CRAN checks: | Boruta results |
| Package source: | Boruta_2.1.0.tar.gz |
| MacOS X binary: | Boruta_2.1.0.tgz |
| Windows binary: | Boruta_2.1.0.zip |
| Reference manual: | Boruta.pdf |
| News/ChangeLog: | NEWS |
| Old sources: | Boruta archive |
| Reverse depends: | bootfs |
| Reverse suggests: | caret |