Curvas ROC para a Avaliação de Classificadores (Evaluating Classifiers Using ROC Curves)

Ronaldo Cristiano Prati (prati@icmc.usp.br), Gustavo Enrique Almeida Prado Alves Batista (gbatista@icmc.usp.br), Maria Carolina Monard (mcmonard@icmc.usp.br)


Universidade de São Paulo
This paper appears in: Revista IEEE América Latina

Publication Date: June 2008
Volume: 6,   Issue: 2 
ISSN: 1548-0992


Abstract:
ROC charts have recently been introduceed as a powerfull tool for evaluation of learning systems. Although ROC charts are conceptually simple, there are some common misconceptions and pitfalls when used in practice. This work surveys ROC analysis, highlighiting the advantages of its use in Machine Learning and Data Mining, and tries to clarify several erroneous interpretations related to its use.

Index Terms:
ROC graphs, Machine learning, Data mining, Model evaluation   


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