ICPR 2010 20 th International Conference on Pattern Recognition

نویسندگان

  • Stephen James McKenna
  • Claudia Diamantini
  • Alberto Gemelli
  • Domenico Potena
  • Dengxin Dai
  • Wen Yang
  • Tianfu Wu
  • Salvador Sánchez
  • Jianping Yin
  • Limin Luo
  • Xiaochun Cao
  • Hongbin Zha
چکیده

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.

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تاریخ انتشار 2010