Corpus ID: 211258957

FSinR: an exhaustive package for feature selection

@article{AragonRoyon2020FSinRAE,
  title={FSinR: an exhaustive package for feature selection},
  author={F. Arag'on-Roy'on and Alfonso Jim{\'e}nez-V{\'i}lchez and A. Arauzo-Azofra and J. M. Ben'itez},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.10330}
}
Feature Selection (FS) is a key task in Machine Learning. It consists in selecting a number of relevant variables for the model construction or data analysis. We present the R package, FSinR, which implements a variety of widely known filter and wrapper methods, as well as search algorithms. Thus, the package provides the possibility to perform the feature selection process, which consists in the combination of a guided search on the subsets of features with the filter or wrapper methods that… Expand
3 Citations

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