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An apparent paradox: a classifier based on a partially classified sample may have smaller expected error rate than that if the sample were completely classified.

Daniel AhfockGeoffrey J. McLachlan
Published in: Stat. Comput. (2020)
Keyphrases
  • pairwise
  • error rate
  • sample size
  • machine learning
  • pattern recognition