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A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data.

Bjoern H. MenzeB. Michael KelmRalf MasuchUwe HimmelreichPeter BachertWolfgang PetrichFred A. Hamprecht
Published in: BMC Bioinform. (2009)
Keyphrases
  • random forest
  • feature selection and classification
  • machine learning methods
  • data sets
  • decision trees
  • cross validation
  • artificial neural networks
  • supervised learning
  • feature set