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Volumn 72, Issue 3, 2008, Pages 247-262

A critical analysis of variants of the AUC

Author keywords

Area under the ROC curve; AUC maximization; AUC variants; Bias variance analysis; Ranking performance; ROC analysis

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLASSIFIERS;

EID: 48349140000     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-008-5070-x     Document Type: Conference Paper
Times cited : (46)

References (24)
  • 2
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • 7
    • Bradley, A. (1997). The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition, 30(7), 1145-1159.
    • (1997) Pattern Recognition , vol.30 , pp. 1145-1159
    • Bradley, A.1
  • 3
    • 45349105322 scopus 로고    scopus 로고
    • AUC maximizing support vector learning
    • Ferri, C., Lachiche, N., Macskassy, S., & Rakotomamonjy, A. (Eds.) Bonn, Germany, August 11, 2005
    • Brefeld, U., & Scheffer, T. (2005). AUC maximizing support vector learning. In Ferri, C., Lachiche, N., Macskassy, S., & Rakotomamonjy, A. (Eds.), Proceedings of the 2nd workshop on ROC analysis in machine learning (ROCML 2005). Bonn, Germany, August 11, 2005.
    • (2005) Proceedings of the 2nd Workshop on ROC Analysis in Machine Learning (ROCML 2005)
    • Brefeld, U.1    Scheffer, T.2
  • 9
    • 21744462998 scopus 로고    scopus 로고
    • On bias, variance, 0/1-loss, and the curse-of-dimensionality
    • Friedman, J. (1997). On bias, variance, 0/1-loss, and the curse-of-dimensionality. Data Mining and Knowledge Discovery, 1, 55-77.
    • (1997) Data Mining and Knowledge Discovery , vol.1 , pp. 55-77
    • Friedman, J.1
  • 10
    • 0003562954 scopus 로고    scopus 로고
    • A simple generalisation of the area under the ROC curve for multiple class classification problems
    • Hand, D., & Till, R. (2001). A simple generalisation of the area under the ROC curve for multiple class classification problems. Machine Learning, 45, 171-186.
    • (2001) Machine Learning , vol.45 , pp. 171-186
    • Hand, D.1    Till, R.2
  • 11
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operator characteristic ROC curve
    • 1
    • Hanley, J., & McNeil, B. (1982). The meaning and use of the area under a receiver operator characteristic ROC curve. Radiology, 143(1), 29-36.
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.1    McNeil, B.2
  • 14
    • 0002322469 scopus 로고
    • On a test whether one of two random variables is stochastically larger than the other
    • 1
    • Mann, H., & Whitney, D. (1947). On a test whether one of two random variables is stochastically larger than the other. The Annals of Mathematical Statistics, 18(1), 50-60.
    • (1947) The Annals of Mathematical Statistics , vol.18 , pp. 50-60
    • Mann, H.1    Whitney, D.2
  • 15
    • 0042346121 scopus 로고    scopus 로고
    • Tree-induction fir probability based ranking
    • 3
    • Provost, F., & Domingos, P. (2003). Tree-induction fir probability based ranking. Machine Learning, 52(3), 199-215.
    • (2003) Machine Learning , vol.52 , pp. 199-215
    • Provost, F.1    Domingos, P.2
  • 16
    • 0035283313 scopus 로고    scopus 로고
    • Robust classification for imprecise environments
    • 3
    • Provost, F., & Fawcett, T. (2001). Robust classification for imprecise environments. Machine Learning, 42(3), 203-231.
    • (2001) Machine Learning , vol.42 , pp. 203-231
    • Provost, F.1    Fawcett, T.2
  • 18
    • 33846571228 scopus 로고    scopus 로고
    • Optimizing area under ROC curve with SVMs
    • J. Hernández-Orallo, C. Ferri, N. Lachiche, & P. Flach (Eds.) Valencia, Spain, August 22, 2004
    • Rakotomamonjy, A. (2004). Optimizing area under ROC curve with SVMs. In J. Hernández-Orallo, C. Ferri, N. Lachiche, & P. Flach (Eds.), Proceedings of the 1st workshop on ROC analysis and artificial intelligence (ROCAI 2004) (pp. 71-80). Valencia, Spain, August 22, 2004.
    • (2004) Proceedings of the 1st Workshop on ROC Analysis and Artificial Intelligence (ROCAI 2004) , pp. 71-80
    • Rakotomamonjy, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.