Publication detail

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

MALACH, T. POMĚNKOVÁ, J.

Original Title

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

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

Confidence Interval, ROC curves, Face Recognition, Pattern Recognition

Authors

MALACH, T.; POMĚNKOVÁ, J.

Released

5. 9. 2018

Publisher

Společnost pro radioelektronické inženýrství

Location

Brno

ISBN

1210-2512

Periodical

Radioengineering

Year of study

27

Number

3

State

Czech Republic

Pages from

827

Pages to

834

Pages count

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"
}