Boruta (1.5)

Boruta -- a tool for finding significant attributes in information systems.

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.

Maintainer: Miron B. Kursa
Author(s): Algorithm by Witold R. Rudnicki <>, R implementation by Miron B. Kursa <>.

License: GPL (>= 2)

Uses: randomForest, mlbench
Reverse depends: bootfs
Reverse suggests: caret, fscaret, varrank

Released over 9 years ago.