• DocumentCode
    849161
  • 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
  • Volume
    6
  • Issue
    2
  • fYear
    2008
  • fDate
    6/1/2008 12:00:00 AM
  • Firstpage
    215
  • Lastpage
    222
  • 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;
  • fLanguage
    English
  • Journal_Title
    Latin America Transactions, IEEE (Revista IEEE America Latina)
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2008.4609920
  • Filename
    4609920
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=849161