Curvas ROC para a Avaliação de Classificadores
(Evaluating Classifiers Using ROC Curves)
Ronaldo Cristiano Prati (email@example.com), Gustavo Enrique Almeida Prado Alves Batista (firstname.lastname@example.org), Maria Carolina Monard (email@example.com)
Universidade de São Paulo
This paper appears in: Revista IEEE América Latina
Publication Date: June 2008
Volume: 6, Issue: 2
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.
ROC graphs, Machine learning, Data mining, Model evaluation
Documents that cite this
This function is not implemented yet.
[PDF Full-Text (387)]