dc.creator | Blanquero Bravo, Rafael | es |
dc.creator | Carrizosa Priego, Emilio José | es |
dc.creator | Ramírez Cobo, Josefa | es |
dc.creator | Sillero Denamiel, María Remedios | es |
dc.date.accessioned | 2022-06-28T09:12:35Z | |
dc.date.available | 2022-06-28T09:12:35Z | |
dc.date.issued | 2021-09-15 | |
dc.identifier.citation | Blanquero Bravo, R., Carrizosa Priego, E.J., Ramírez Cobo, J. y Sillero Denamiel, M.R. (2021). Constrained Naïve Bayes with application to unbalanced data classification. Central European Journal of Operations Research | |
dc.identifier.issn | 1435-246X | es |
dc.identifier.uri | https://hdl.handle.net/11441/134739 | |
dc.description.abstract | The Naïve Bayes is a tractable and efficient approach for statistical classification. In
general classification problems, the consequences of misclassifications may be rather
different in different classes, making it crucial to control misclassification rates in the
most critical and, in many realworld problems, minority cases, possibly at the expense
of higher misclassification rates in less problematic classes. One traditional approach
to address this problem consists of assigning misclassification costs to the different
classes and applying the Bayes rule, by optimizing a loss function. However, fixing
precise values for such misclassification costs may be problematic in realworld appli cations. In this paper we address the issue of misclassification for the Naïve Bayes
classifier. Instead of requesting precise values of misclassification costs, threshold val ues are used for different performance measures. This is done by adding constraints to
the optimization problem underlying the estimation process. Our findings show that,
under a reasonable computational cost, indeed, the performance measures under con sideration achieve the desired levels yielding a user-friendly constrained classification
procedure. | es |
dc.format | application/pdf | es |
dc.format.extent | 23 p. | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | Central European Journal of Operations Research | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Probabilistic classification | es |
dc.subject | Constrained optimization | es |
dc.subject | Parameter estimation | es |
dc.subject | Efficiency measures | es |
dc.subject | Naïve Bayes | es |
dc.title | Constrained Naïve Bayes with application to unbalanced data classification | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa | es |
dc.relation.publisherversion | https://doi.org/10.1007/s10100-021-00782-1 | es |
dc.identifier.doi | 10.1007/s10100-021-00782-1 | es |
dc.journaltitle | Central European Journal of Operations Research | es |