Estimating and Reducing the Error of a Classifier or Predictor

نویسنده

  • K. Ming Leung
چکیده

Methods, such as holdout, random subsampling, k-fold cross-validation, and bootstrap, for making error estimation are discussed. Also considered are general techniques, such as bagging and boosting, for increasing model accuracy. Directory • Table of

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تاریخ انتشار 2007