Neural Computation, volume 12, issue 2, pages 305-311
Improving the Practice of Classifier Performance Assessment
Publication type: Journal Article
Publication date: 2000-02-01
Journal:
Neural Computation
Q1
Q3
SJR: 0.948
CiteScore: 6.3
Impact factor: 2.7
ISSN: 08997667, 1530888X
Cognitive Neuroscience
Arts and Humanities (miscellaneous)
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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GOST
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Adams N. M., Hand D. J. Improving the Practice of Classifier Performance Assessment // Neural Computation. 2000. Vol. 12. No. 2. pp. 305-311.
GOST all authors (up to 50)
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Adams N. M., Hand D. J. Improving the Practice of Classifier Performance Assessment // Neural Computation. 2000. Vol. 12. No. 2. pp. 305-311.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1162/089976600300015808
UR - https://doi.org/10.1162/089976600300015808
TI - Improving the Practice of Classifier Performance Assessment
T2 - Neural Computation
AU - Adams, N. M.
AU - Hand, D. J.
PY - 2000
DA - 2000/02/01
PB - MIT Press
SP - 305-311
IS - 2
VL - 12
SN - 0899-7667
SN - 1530-888X
ER -
Cite this
BibTex (up to 50 authors)
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@article{2000_Adams,
author = {N. M. Adams and D. J. Hand},
title = {Improving the Practice of Classifier Performance Assessment},
journal = {Neural Computation},
year = {2000},
volume = {12},
publisher = {MIT Press},
month = {feb},
url = {https://doi.org/10.1162/089976600300015808},
number = {2},
pages = {305--311},
doi = {10.1162/089976600300015808}
}
Cite this
MLA
Copy
Adams, N. M., and D. J. Hand. “Improving the Practice of Classifier Performance Assessment.” Neural Computation, vol. 12, no. 2, Feb. 2000, pp. 305-311. https://doi.org/10.1162/089976600300015808.