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Authors: Miron B. Kursa, Witold R. Rudnicki
Title: [download]
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Feature Selection with the Boruta Package
Reference: Vol. 36, Issue 11, Sep 2010
Submitted 2009-12-03, Accepted 2010-07-29
Type: Article
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.

Paper: [download]
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Feature Selection with the Boruta Package
(application/pdf, 505.6 KB)
Supplements: [download]
(586)
Boruta_1.3.tar.gz: R source package
(application/x-gzip, 19.9 KB)
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v36i11.R: R example code from the paper
(application/octet-stream, 6.5 KB)
Resources: BibTeX | OAI
Creative Commons License
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)
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