articleExpert Systems with ApplicationsMay 23, 2019GREEN OA

A comparison of random forest variable selection methods for classification prediction modeling

Wake Forest University

PubMed
Indexed incrossrefpubmed

Abstract

No abstract available for this paper.

Citation impact

1,504
total citations
FWCI
108.60
Percentile
100%
References
27
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Authors

4

Topics & keywords

Keywords
  • Random forest
  • Computer science
  • Feature selection
  • Machine learning
  • Variable (mathematics)
  • Selection (genetic algorithm)
  • Data mining
  • Artificial intelligence
UN Sustainable Development Goals
  • Life in Land
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