Using and understanding cross-validation strategies. Perspectives on Saeb et al.

نویسندگان

  • Max A. Little
  • Gael Varoquaux
  • Sohrab Saeb
  • Luca Lonini
  • Arun Jayaraman
  • David C. Mohr
  • Konrad P. Kording
چکیده

This three-part review takes a detailed look at the complexities of cross-validation, fostered by the peer review of Saeb et al.'s paper entitled "The need to approximate the use-case in clinical machine learning." It contains perspectives by reviewers and by the original authors that touch upon cross-validation: the suitability of different strategies and their interpretation.

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عنوان ژورنال:

دوره 6  شماره 

صفحات  -

تاریخ انتشار 2017