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Volumn 48, Issue 9, 2015, Pages 2839-2846

Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation

Author keywords

Classification; Independence; k Fold cross validation; Leave one out cross validation; Sampling distribution

Indexed keywords

CLASSIFICATION (OF INFORMATION); STATISTICAL METHODS;

EID: 84929503174     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2015.03.009     Document Type: Article
Times cited : (978)

References (12)
  • 2
    • 21744462998 scopus 로고    scopus 로고
    • On bias, variance, 0/1-loss, and the curse-of-dimensionality
    • J.H. Friedman On bias, variance, 0/1-loss, and the curse-of-dimensionality Data Min. Knowl. Discov. 1 1997 55 77
    • (1997) Data Min. Knowl. Discov. , vol.1 , pp. 55-77
    • Friedman, J.H.1
  • 3
    • 84925604888 scopus 로고    scopus 로고
    • No unbiased estimator of the variance of K-fold cross-validation
    • Y. Bengio, and Y. Grandvalet No unbiased estimator of the variance of K-fold cross-validation J. Mach. Learn. Res. 5 2004 1089 1105
    • (2004) J. Mach. Learn. Res. , vol.5 , pp. 1089-1105
    • Bengio, Y.1    Grandvalet, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.