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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    <a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Radioengineering

  • ISSN

    1210-2512

  • e-ISSN

  • Volume of the periodical

    27

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    8

  • Pages from-to

    827-834

  • UT code for WoS article

    000444598500026

  • EID of the result in the Scopus database