Monthly
288 pp. per issue
6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

February 1, 2000, Vol. 12, No. 2, Pages 305-311
(doi: 10.1162/089976600300015808)
© 2000 Massachusetts Institute of Technology
Improving the Practice of Classifier Performance Assessment
Article PDF (118.92 KB)
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.