Boruta is a feature selection algorithm based on a randomForest classifier. It selects the full set of all relevant attributes by comparing original attributes' importances with importance achievable at random estimated using their randomised copies.
| Version: | 1.6 |
| Depends: | R (≥ 2.0.0), randomForest |
| Suggests: | mlbench |
| Published: | 2012-02-22 |
| Author: | Algorithm by Witold R. Rudnicki, R implementation by Miron B. Kursa. |
| Maintainer: | Miron B. Kursa <M.Kursa at icm.edu.pl> |
| License: | GPL (≥ 2) |
| Citation: | Boruta citation info |
| In views: | MachineLearning |
| CRAN checks: | Boruta results |
| Package source: | Boruta_1.6.tar.gz |
| MacOS X binary: | Boruta_1.6.tgz |
| Windows binary: | Boruta_1.6.zip |
| Reference manual: | Boruta.pdf |
| News/ChangeLog: | NEWS |
| Old sources: | Boruta archive |
| Reverse suggests: | caret |