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MALACH, T. POMĚNKOVÁ, J.
Originální název
Comparing Classifier's Performance Based on Confidence Interval of the ROC
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
This paper proposes a new methodology for comparing two performance methods based on confidence interval for the ROC curve. The methods performed and compared are two algorithms for face recognition. The novelty of the paper is three-fold: i) designing a methodology for the comparison of decision making algorithms via confidence intervals of ROC curves; ii) investigating how sample sizes influence the properties of the particular methods; iii) recommendations for a general comparison of decision making algorithms via confidence intervals of ROC curves. To support our conclusions we investigate and demonstrate several approaches for constructing parametric confidence intervals on real data. Thus, we present a non-traditional and reliable way of reporting pattern recognition results using ROC curves with confidence intervals.
Klíčová slova
Confidence Interval, ROC curves, Face Recognition, Pattern Recognition
Autoři
MALACH, T.; POMĚNKOVÁ, J.
Vydáno
5. 9. 2018
Nakladatel
Společnost pro radioelektronické inženýrství
Místo
Brno
ISSN
1210-2512
Periodikum
Radioengineering
Ročník
27
Číslo
3
Stát
Česká republika
Strany od
827
Strany do
834
Strany počet
8
URL
https://www.semanticscholar.org/paper/Comparing-Classifier's-Performance-Based-on-of-the-Pomenkova-Malach/be1ce6939f50043d957c1deaa511465b76e2fc3d
BibTex
@article{BUT148330, author="Tobiáš {Malach} and Jitka {Poměnková}", title="Comparing Classifier's Performance Based on Confidence Interval of the ROC", journal="Radioengineering", year="2018", volume="27", number="3", pages="827--834", doi="10.13164/re.2018.0827", issn="1210-2512", url="https://www.semanticscholar.org/paper/Comparing-Classifier's-Performance-Based-on-of-the-Pomenkova-Malach/be1ce6939f50043d957c1deaa511465b76e2fc3d" }