Title :
Evaluating Classifiers Using ROC Curves
Author :
Prati, R.C. ; Batista, G. E A P A ; Monard, M.C.
Author_Institution :
Inst. de Cienc. Mat. e de Comput., Univ. de Sao Paulo, Sao Paulo
fDate :
6/1/2008 12:00:00 AM
Abstract :
ROC charts have recently been introduced as a powerful 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, highlighting the advantages of its use in machine learning and data mining, and tries to clarify several erroneous interpretations related to its use.
Keywords :
data mining; learning systems; ROC charts; ROC curves; data mining; learning systems; machine learning; Data mining; Learning systems; Machine learning; Data mining; Machine learning; Model evaluation; ROC graphs;
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
DOI :
10.1109/TLA.2008.4609920
