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

doi:10.1093/gigascience/gix020

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 journal › Comment/debate › peer-review

94 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 language	English (US)
Pages (from-to)	1-6
Number of pages	6
Journal	GigaScience
Volume	6
Issue number	5
DOIs	https://doi.org/10.1093/gigascience/gix020
State	Published - May 1 2017

Keywords

clinical applications
cross-validation
machine learning

ASJC Scopus subject areas

General Medicine

Access to Document

10.1093/gigascience/gix020

Cite this

@article{9c9f0674a40a4914a397fff459a21a34,

title = "Using and understanding cross-validation strategies. Perspectives on Saeb et al",

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.",

keywords = "clinical applications, cross-validation, machine learning",

author = "Little, {Max A.} and Gael Varoquaux and Sohrab Saeb and Luca Lonini and Arun Jayaraman and Mohr, {David C} and Kording, {Konrad P.}",

note = "Publisher Copyright: {\textcopyright} The Author 2017. Published by Oxford University Press.",

year = "2017",

month = may,

day = "1",

doi = "10.1093/gigascience/gix020",

language = "English (US)",

volume = "6",

pages = "1--6",

journal = "GigaScience",

issn = "2047-217X",

publisher = "BioMed Central",

number = "5",

}

TY - JOUR

T1 - Using and understanding cross-validation strategies. Perspectives on Saeb et al

AU - Little, Max A.

AU - Varoquaux, Gael

AU - Saeb, Sohrab

AU - Lonini, Luca

AU - Jayaraman, Arun

AU - Mohr, David C

AU - Kording, Konrad P.

N1 - Publisher Copyright: © The Author 2017. Published by Oxford University Press.

PY - 2017/5/1

Y1 - 2017/5/1

N2 - 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.

AB - 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.

KW - clinical applications

KW - cross-validation

KW - machine learning

UR - http://www.scopus.com/inward/record.url?scp=85041797582&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85041797582&partnerID=8YFLogxK

U2 - 10.1093/gigascience/gix020

DO - 10.1093/gigascience/gix020

M3 - Comment/debate

C2 - 28327989

AN - SCOPUS:85041797582

SN - 2047-217X

VL - 6

SP - 1

EP - 6

JO - GigaScience

JF - GigaScience

IS - 5

ER -