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Visualizing the decision rules behind the ROC curves: understanding the classification process.

dc.contributor.authorPérez Fernández, Sonia 
dc.contributor.authorMartínez Camblor, Pablo 
dc.contributor.authorFilzmoser, Peter
dc.contributor.authorCorral Blanco, Norberto Octavio 
dc.date.accessioned2021-01-18T10:54:46Z
dc.date.available2021-01-18T10:54:46Z
dc.date.issued2020
dc.identifier.citationAdvances in Statistical Analysis, 105, p. 135-161 (2020); doi:10.1007/s10182-020-00385-2
dc.identifier.issn1863-8171
dc.identifier.urihttp://hdl.handle.net/10651/57241
dc.description.sponsorshipThe authors gratefully acknowledge support by the Grants MTM2015-63971-P from the Spanish Ministerio of Economia y Competitividad and by FC-15-GRUPIN14-101 and Severo Ochoa Grant BP16118 from the Principado de Asturias and Grant from Campus of International Excellence of University of Oviedo (the last two ones for Perez-Fernandez).
dc.format.extentp. 135-161
dc.language.isoengeng
dc.relation.ispartofAdvances in Statistical Analysisspa
dc.rights© 2020 Springer Verlag, part of Springer Nature
dc.rightsCC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleVisualizing the decision rules behind the ROC curves: understanding the classification process.eng
dc.typejournal articlespa
dc.identifier.doi10.1007/s10182-020-00385-2
dc.relation.projectIDMINECO/MTM2015-63971-Pspa
dc.relation.projectIDFEDER/GRUPIN-IDI2018-000132spa
dc.relation.projectIDSevero Ochoa/Grant BP16118
dc.relation.publisherversionhttps://doi.org/10.1007/s10182-020-00385-2spa
dc.rights.accessRightsopen accessspa
dc.type.hasVersionAM


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