Estimating and Reducing the Error of a Classifier or Predictor
K. M. Leung · 2007
Methods, such as holdout, random subsam- pling, k-fold cross-validation, and bootstrap, for mak- ing error estimation are discussed. Also considered are general techniques, such as bagging and boosting, for increasing model accuracy.