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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128190" target="_blank" >RIV/00216305:26220/18:PU128190 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.semanticscholar.org/paper/Comparing-Classifier's-Performance-Based-on-of-the-Pomenkova-Malach/be1ce6939f50043d957c1deaa511465b76e2fc3d" target="_blank" >https://www.semanticscholar.org/paper/Comparing-Classifier's-Performance-Based-on-of-the-Pomenkova-Malach/be1ce6939f50043d957c1deaa511465b76e2fc3d</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.13164/re.2018.0827" target="_blank" >10.13164/re.2018.0827</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

<a href="/cs/project/LO1401" target="_blank" >LO1401: Interdisciplinární výzkum bezdrátových technologií</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Radioengineering

ISSN

1210-2512

e-ISSN

—

Svazek periodika

27

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

827-834

Kód UT WoS článku

000444598500026

EID výsledku v databázi Scopus

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