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.
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CITATION STYLE
Little, M. A., Varoquaux, G., Saeb, S., Lonini, L., Jayaraman, A., Mohr, D. C., & Kording, K. P. (2017, May 1). Using and understanding cross-validation strategies. Perspectives on Saeb et al. GigaScience. NLM (Medline). https://doi.org/10.1093/gigascience/gix020
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