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Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models.

Marco PiccininniMaximilian WechsungBen Van CalsterJessica L. RohmannStefan KonigorskiMaarten van Smeden
Published in: J. Biomed. Informatics (2024)
Keyphrases
  • class imbalance
  • random subspaces
  • active learning
  • machine learning
  • feature selection
  • pairwise
  • prior knowledge
  • small number
  • class distribution
  • imbalanced datasets