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Volumn 7014 LNCS, Issue , 2011, Pages 210-221

An alternative to ROC and AUC analysis of classifiers

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIER PERFORMANCE; MISCLASSIFICATION RATES; MISCLASSIFICATIONS; PERFORMANCE EVALUATION;

EID: 80455168539     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24800-9_21     Document Type: Conference Paper
Times cited : (7)

References (15)
  • 1
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    • Measuring classifier performance: A coherent alternative to the area under the ROC curve
    • Hand, D.:Measuring classifier performance: a coherent alternative to the area under the ROC curve. Machine Learning 77, 103-123 (2009)
    • (2009) Machine Learning , vol.77 , pp. 103-123
    • Hand, D.1
  • 3
    • 3042512345 scopus 로고    scopus 로고
    • ROC curves in clinical chemistry: Uses, misuses and possible solutions
    • Obuchowsky, N., Lieber, M., Wians Jr., F.: ROC curves in clinical chemistry: Uses, misuses and possible solutions. Clinical Chemistry 50, 1118-1125 (2004)
    • (2004) Clinical Chemistry , vol.50 , pp. 1118-1125
    • Obuchowsky, N.1    Lieber, M.2    Wians Jr., F.3
  • 4
    • 80455154552 scopus 로고    scopus 로고
    • Receiver-operating characteristic (ROC) curve analysis in diagnostic, prognostic and predictive biomarker research
    • Søreide, K.: Receiver-operating characteristic (ROC) curve analysis in diagnostic, prognostic and predictive biomarker research. Clinical Pathology 62, 1-5 (2009)
    • (2009) Clinical Pathology , vol.62 , pp. 1-5
    • Søreide, K.1
  • 9
    • 0003562954 scopus 로고    scopus 로고
    • A simple generalisation of the area under the ROC curve for multiple class classification problems
    • Hand, D., Till, R.: A simple generalisation of the area under the ROC curve for multiple class classification problems. Machine Learning 45, 171-186 (2001)
    • (2001) Machine Learning , vol.45 , pp. 171-186
    • Hand, D.1    Till, R.2
  • 10
    • 45849137394 scopus 로고    scopus 로고
    • ROC analysis with multiple classes and multiple tests: Methodology and its application in microarray studies
    • Li, J., Fine, J.: ROC analysis with multiple classes and multiple tests: methodology and its application in microarray studies. Biostatistics 9, 566-576 (2008)
    • (2008) Biostatistics , vol.9 , pp. 566-576
    • Li, J.1    Fine, J.2
  • 11
    • 0033164667 scopus 로고    scopus 로고
    • Comparing classifiers when the misallocation costs are uncertain
    • Adams, N., Hand, D.: Comparing classifiers when the misallocation costs are uncertain. Pattern Recognition 32, 1139-1147 (1999)
    • (1999) Pattern Recognition , vol.32 , pp. 1139-1147
    • Adams, N.1    Hand, D.2
  • 13
    • 33748991193 scopus 로고    scopus 로고
    • Cost curves: An improved method for visualizing classifier performance
    • Drummond, C., Holte, R.: Cost curves: An improved method for visualizing classifier performance. Machine Learning 65, 95-130 (2006)
    • (2006) Machine Learning , vol.65 , pp. 95-130
    • Drummond, C.1    Holte, R.2
  • 15
    • 0000865580 scopus 로고
    • Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm
    • Turney, P.: Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm. Journal of Artificial Intelligence Research 2, 369-409 (1995)
    • (1995) Journal of Artificial Intelligence Research , vol.2 , pp. 369-409
    • Turney, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.