Feature Selection with the Boruta Package
Feature Selection with the Boruta Package
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DOI：
10.18637/jss.v036.i11
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发表时间：
2010-09-01
影响因子：
5.8
通讯作者：
Rudnicki, Witold R.
中科院分区：
文献类型：
--
作者：
Kursa, Miron B.;Rudnicki, Witold R.
本文描述了一个R软件包Boruta，它实现了一个新的特征选择算法来寻找所有相关变量。该算法被设计为随机森林分类算法的包装器。它迭代地删除的功能，证明了统计测试是不相关的比随机探针。Boruta软件包提供了一个方便的算法接口。文中给出了算法的简要描述和应用实例。
This article describes a R package Boruta, implementing a novel feature selection algorithm for finding 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.