Using and understanding cross-validation strategies. Perspectives on Saeb et al.
Author(s) -
Max A. Little,
Gaël Varoquaux,
Sohrab Saeb,
Luca Lonini,
Arun Jayaraman,
David C. Mohr,
Konrad P. Körding
Publication year - 2017
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/gix020
Subject(s) - interpretation (philosophy) , computer science , test (biology) , artificial intelligence , biology , programming language , ecology
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom