Boruta - A System for Feature Selection

@article{Kursa2010BorutaA,
  title={Boruta - A System for Feature Selection},
  author={Miron B. Kursa and Aleksander Jankowski and Witold R. Rudnicki},
  journal={Fundam. Inform.},
  year={2010},
  volume={101},
  pages={271-285}
}
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irrelevant to the classification problem. Even more, usually one cannot decide a priori which attributes are relevant. In this paper we present an improved version of the algorithm for identification of the full set of truly important variables in an information system. It is an extension of the random forest method… CONTINUE READING

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