ML Anthology

Improving the Practice of Classifier Performance Assessment

Niall M. Adams, David J. Hand
NeCo 2000 pp. 305-311
doi:10.1162/089976600300015808 /neco/2000/adams2000neco-improving/

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.

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Cite

Text

Adams and Hand. "Improving the Practice of Classifier Performance Assessment." Neural Computation, 2000. doi:10.1162/089976600300015808

Markdown

[Adams and Hand. "Improving the Practice of Classifier Performance Assessment." Neural Computation, 2000.](https://mlanthology.org/neco/2000/adams2000neco-improving/) doi:10.1162/089976600300015808

BibTeX

@article{adams2000neco-improving,
  title     = {{Improving the Practice of Classifier Performance Assessment}},
  author    = {Adams, Niall M. and Hand, David J.},
  journal   = {Neural Computation},
  year      = {2000},
  pages     = {305-311},
  doi       = {10.1162/089976600300015808},
  volume    = {12},
  url       = {https://mlanthology.org/neco/2000/adams2000neco-improving/}
}