Boruta - A System for Feature Selection

@article{Kursa2010BorutaA,
  title={Boruta - A System for Feature Selection},
  author={M. Kursa and A. Jankowski and W. Rudnicki},
  journal={Fundam. Informaticae},
  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. [...] Key Method It is an extension of the random forest method which utilises the importance measure generated by the original algorithm. It compares, in the iterative fashion, the importances of original attributes with importances of their randomised copies. We analyse performance of the…Expand
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