• DocumentCode
    2508297
  • Title

    Theoretical Analysis of a Performance Measure for Imbalanced Data

  • Author

    Garcia, V. ; Mollineda, R.A. ; Sanchez, J.S.

  • Author_Institution
    Dept. Llenguatges i Sist. Inf., Univ. Jaume I, Castelló de la Plana, Spain
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    617
  • Lastpage
    620
  • Abstract
    This paper analyzes a generalization of a new metric to evaluate the classification performance in imbalanced domains, combining some estimate of the overall accuracy with a plain index about how dominant the class with the highest individual accuracy is. A theoretical analysis shows the merits of this metric when compared to other well-known measures.
  • Keywords
    generalisation (artificial intelligence); learning (artificial intelligence); pattern classification; classification performance measurement; imbalanced data; Accuracy; Correlation; Indexes; Learning systems; Measurement uncertainty; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.156
  • Filename
    5597459
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2508297