Stability of Filter- and Wrapper-Based Feature Subset Selection

@article{Wald2013StabilityOF,
  title={Stability of Filter- and Wrapper-Based Feature Subset Selection},
  author={Randall Wald and Taghi M. Khoshgoftaar and Amri Napolitano},
  journal={2013 IEEE 25th International Conference on Tools with Artificial Intelligence},
  year={2013},
  pages={374-380}
}
High dimensionality (too many features) is found across many data science domains. Feature selection techniques address this problem by choosing a subset of features whichare more relevant to the problem at hand. These technique scan simply rank the features, but this risks including multiple features which are individually useful but which contain redundant information, subset evaluation techniques, on the other hand, consider the usefulness of whole subsets, and therefore avoid selecting… CONTINUE READING

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