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The effect of varying levels of class distribution on bagging for different algorithms: An empirical study.

Guohua LiangXingquan ZhuChengqi Zhang
Published in: Int. J. Mach. Learn. Cybern. (2014)
Keyphrases
  • class distribution
  • learning algorithm
  • training set
  • machine learning
  • training data
  • imbalanced data
  • ensemble classifier
  • highly skewed
  • data sets
  • test set
  • classification models
  • random forests