Authors: | Miron B. Kursa, Witold R. Rudnicki | ||||
Title: | Feature Selection with the Boruta Package | ||||
Abstract: | This article describes a R package Boruta, implementing a novel feature selection algorithm for finding emph{all relevant variables}. The algorithm is designed as a wrapper around a Random Forest classification algorithm. It iteratively removes the features which are proved by a statistical test to be less relevant than random probes. The Boruta package provides a convenient interface to the algorithm. The short description of the algorithm and examples of its application are presented. | ||||
Page views:: 34223. Submitted: 2009-12-03. Published: 2010-09-16. |
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Paper: |
Feature Selection with the Boruta Package
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DOI: |
10.18637/jss.v036.i11
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![]() This work is licensed under the licenses Paper: Creative Commons Attribution 3.0 Unported License Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license. |