Universidad de Burgos RIUBU Principal Default Universidad de Burgos RIUBU Principal Default
  • español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
Universidad de Burgos RIUBU Principal Default
  • Ayuda
  • Contact Us
  • Send Feedback
  • Acceso abierto
    • Archivar en RIUBU
    • Acuerdos editoriales para la publicación en acceso abierto
    • Controla tus derechos, facilita el acceso abierto
    • Sobre el acceso abierto y la UBU
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of RIUBUCommunities and CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Compartir

    View Item 
    •   RIUBU Home
    • E-Prints
    • Untitled
    • Untitled
    • Artículos Q&C
    • View Item
    •   RIUBU Home
    • E-Prints
    • Untitled
    • Untitled
    • Artículos Q&C
    • View Item

    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/6078

    Título
    A modified entropy-based performance criterion for class-modelling with multiple classes
    Autor
    Valencia García, Olga
    Ortiz Fernández, Mª CruzUBU authority
    Sánchez Pastor, Mª SagrarioUBU authority
    Sarabia Peinador, Luis AntonioUBU authority
    Publicado en
    Chemometrics and Intelligent Laboratory Systems. 2021, V. 217, 104423
    Editorial
    Elsevier
    Fecha de publicación
    2021-10
    ISSN
    0169-7439
    DOI
    10.1016/j.chemolab.2021.104423
    Abstract
    The paper presents a new proposal for a single overall measure, the diagonal modified confusion entropy (DMCEN), to assess the performance of class-models jointly computed for several classes, a versatile index regarding sensitivity and specificity, and that supports class weighting. The characteristics of the proposed figure of merit are illustrated as against other usual performance measures and show how the index is more sensitive to the variations in the class-models than similar published indexes. Besides, a benchmark value representing a random modelling is also defined for DMCEN to be used as initial level to assess the quality of the built class-models. Furthermore, systematic comparisons have been conducted by using the degree of consistency C and the degree of discriminancy D when comparing the proposed DMCEN to the usual total efficiency (a geometric mean between sensitivity and specificity). Simulations show that, for a hundred thousand sensitivity/specificity matrices with four categories, C is almost 0.7 on average, well above the needed 0.5, and there is more than 62% probability that DMCEN detects differences when the total efficiency does not. Illustration of the application of the index is shown with an experimental data set with four categories.
    Palabras clave
    Sensitivity
    Specificity
    Class-model
    Type I and Type II errors
    Entropy
    Benchmark
    Materia
    Química analítica
    Chemistry, Analytic
    URI
    http://hdl.handle.net/10259/6078
    Versión del editor
    https://doi.org/10.1016/j.chemolab.2021.104423
    Collections
    • Untitled
    • Artículos Q&C
    Attribution-NonCommercial-NoDerivatives 4.0 Internacional
    Documento(s) sujeto(s) a una licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internacional
    Files in this item
    Nombre:
    Valencia-cils_2021.pdf
    Tamaño:
    1.510Mb
    Formato:
    Adobe PDF
    Thumbnail
    FilesOpen

    Métricas

    Citas

    Academic Search
    Ver estadísticas de uso

    Export

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis
    Show full item record