• search
    search
  • reviewers
    reviewers
  • feeds
    feeds
  • assignments
    assignments
  • settings
  • logout

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