Detail publikace

Comparing Classifier's Performance Based on Confidence Interval of the ROC

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

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"
}