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ROC Analysis

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  • Brier G (1950) Verification of forecasts expressed in terms of probabilities. Mon Weather Rev 78:1–3

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  • Drummond C, Holte R (2006) Cost curves: an improved method for visualizing classifier performance. Mach Learn 65(1):95–130

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  • Egan J (1975) Signal detection theory and ROC analysis. Series in cognitition and perception. Academic Press, New York

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  • Fawcett T (2006) An introduction to ROC analysis. Patt Recognit Lett 27(8):861–874

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  • Fawcett T, Niculescu-Mizil A (2007) PAV and the ROC convex hull. Mach Learn 68(1):97–106

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  • Ferri C, Hernández-Orallo J, Salido M (2003) Volume under the ROC surface for multi-class problems. In: Proceedings of the fourteenth European conference on machine learning, Cavtat, pp 108–120

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  • Flach P (2003) The geometry of ROC space: understanding machine learning metrics through ROC isometrics. In: Proceedings of the twentieth international conference on machine learning (ICML 2003), Washington, DC, pp 194–201

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  • Flach P (2004) The many faces of ROC analysis in machine learning, July 2004. ICML-04 Tutorial. Notes available from http://www.cs.bris.ac.uk/~flach/ICML04tutorial/index.html

  • Fuernkranz J, Flach P (2005) ROC ’n’ Rule learning – towards a better understanding of covering algorithms. Mach Learn 58(1):39–77

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  • Hand D, Till R (2001) A simple generalization of the area under the ROC curve to multiple class classification problems. Mach Learn 45(2):171–186

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  • Lachiche N, Flach P (2003) Improving accuracy and cost of two-class and multi-class probabilistic classifiers using ROC curves. In: Proceedings of the twentieth international conference on machine learning (ICML’03), Washington, DC, pp 416–423

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  • Mossman D (1999) Three-way ROCs. Med Decis Mak 19:78–89

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  • Provost F, Fawcett T (2001) Robust classification for imprecise environments. Mach Learn 42(3): 203–231

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  • Srinivasan A (1999) Note on the location of optimal classifiers in n-dimensional ROC space. Technical report PRG-TR-2-99, Oxford University Computing Laboratory, Oxford

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  • Zadrozny B, Elkan C (2002) Transforming classifier scores into accurate multiclass probability estimates. In: Proceedings of the 8th ACM SIGKDD international conference on Knowledge discovery and data mining, Edmonton. ACM, pp 694–699

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Correspondence to Peter A. Flach .

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Flach, P.A. (2017). ROC Analysis. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_739

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