Improving the Practice of Classifier Performance Assessment

  • Authors:
  • N. M. Adams;D. J. Hand

  • Affiliations:
  • -;-

  • Venue:
  • Neural Computation
  • Year:
  • 2000

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Abstract

In this note we use examples from the literature to illustrate some poor practices in assessing the performance of supervised classification rules, and we suggest guidelines for better methodology . We also describe a new assessment criterion that is suitable for the needs of many practical problems.