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English Information

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Authors
# Name
1 Paulo Adeodato(pjla@cin.ufpe.br)
2 Sílvio Melo(sbm@cin.ufpe.br)

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Reference
# Reference
1 Adeodato, P. J. L. e Melo, S. B. (2016) “On the equivalence between Kolmogorov-Smirnov and ROC curve metrics for binary classification”. Cornell University Library ARXIV, 2016arXiv160600496A, https://arxiv.org/abs/1606.00496.
2 Adeodato, P. J. L. et al. (2008) “The Power of Sampling and Stacking for the PAKDD-2007 Cross-Selling Problem”. Int. Jour. Data War. Mining, 4, pp. 22–31.
3 Bellù, L. G. e Liberati, P. (2006) “Inequality Analysis – The Gini Index”. Food and Agriculture Organization, United Nations.
4 Ceriani, L. e Verme, P. (2012) “The origins of the Gini index: extracts from Variabilità e Mutabilità (2012) by Corrado Gini”. J. Econ. Inequal. 10:421–443.
5 Conover, W. J. (1999) “Practical Nonparametric Statistics”, (3rd ed.), John Wiley & Sons, New York, NY.
6 Fawcett, T. (2006) “An introduction to ROC analysis”. Patt. Rec. Lett. 27, pp.861–874.
7 Kolmogorov, A. N. (1933) “Sulla determinazione empirica di una legge di distribuzione”. Giornale dell’Istituto Italiano degli Attuari, 4, pp. 83–91.
8 Krzanowski, W. J. e Hand, D. J. (2009) “ROC Curves For Continuous Data”, Chapman and Hall/CRC.
9 Peterson,W.W., Birdsall, T. G. e Fox, W. C. (1954) “The theory of signal detectability”. In: Proc. of the IRE Professional Group on Information Theory 4, pp.171–212.
10 Provost, F. e Fawcett, T. (2001) “Robust Classification for Imprecise Environments”. Machine Learning Journal, 42 (3), (Mar. 2001), pp. 203–231.
11 Provost, F. e Fawcett, T. (2013) “Data Science for business”. O ́Reilly Media Inc., Sebastopol, CA.