Half-AUC for the evaluation of sensitive or specific classifiers

Bradley, Andrew P. (2014) Half-AUC for the evaluation of sensitive or specific classifiers. Pattern Recognition Letters, 38 1: 93-98. doi:10.1016/j.patrec.2013.11.015

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
UQ320369OA.pdf Full text (open access) application/pdf 110.97KB 3

Author Bradley, Andrew P.
Title Half-AUC for the evaluation of sensitive or specific classifiers
Journal name Pattern Recognition Letters   Check publisher's open access policy
ISSN 0167-8655
Publication date 2014-03-01
Year available 2013
Sub-type Article (original research)
DOI 10.1016/j.patrec.2013.11.015
Open Access Status
Volume 38
Issue 1
Start page 93
End page 98
Total pages 6
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Collection year 2014
Language eng
Formatted abstract
This paper describes a simple, non-parametric variant of area under the receiver operating characteristic (ROC) curve (AUC), which we call half-AUC (HAUC). By measuring AUC in two halves: first when the true positive rate (TPR) is greater than the true negative rate (TNR) and then when TPR is less than TNR, we obtain a measure of a classifier's overall sensitivity (HAUCSe) and specificity (HAUCSp) respectively. We show that these HAUC measures can be interpreted as the probability of correct ranking under the constraint that one class must have a higher detection rate than the other. We then go on to describe application domains where this constraint is appropriate and hence where HAUC may be superior to AUC. We show examples where HAUC discriminates ROC curves both when one curve dominates another and when the curves cross, but have an equivalent AUC.
Keyword AUC
ROC curves
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online 5 December 2013

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Information Technology and Electrical Engineering Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 5 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 07 Jan 2014, 00:13:49 EST by System User on behalf of School of Information Technol and Elec Engineering