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

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

Research output: Contribution to journalComment/debate

23 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1-6
Number of pages6
JournalGigaScience
Volume6
Issue number5
DOIs
StatePublished - May 1 2017

Keywords

  • clinical applications
  • cross-validation
  • machine learning

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

Fingerprint Dive into the research topics of 'Using and understanding cross-validation strategies. Perspectives on Saeb et al'. Together they form a unique fingerprint.

  • Cite this