• DocumentCode
    2493276
  • Title

    Feature selection using ROC curves on classification problems

  • Author

    Serrano, Antonio J. ; Soria, Emilio ; Martin, Jose D. ; Magdalena, Rafael ; Gomez, Juan

  • Author_Institution
    Dept. of Eng. Electron., Univ. of Valencia, Burjassot, Spain
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Feature Selection (FS) is one of the key stages in classification problems. This paper proposes the use of the area under Receiver Operator Characteristic curves to measure the individual importance of every input as well as a method to discover the variables that yield a statistically significant improvement in the discrimination power of the classification model.
  • Keywords
    feature extraction; pattern classification; classification problem; feature selection; receiver operating characteristic curves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2010 International Joint Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-6916-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2010.5596692
  • Filename
    5596692
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2493276