dc.contributor.author | Ibarguren Arrieta, Igor | |
dc.contributor.author | Pérez de la Fuente, Jesús María | |
dc.contributor.author | Muguerza Rivero, Javier Francisco | |
dc.contributor.author | Arbelaiz Gallego, Olatz | |
dc.contributor.author | Yera Gil, Ainhoa | |
dc.date.accessioned | 2022-01-25T08:54:14Z | |
dc.date.available | 2022-01-25T08:54:14Z | |
dc.date.issued | 2022-01 | |
dc.identifier.citation | Information Sciences 583 : 219-238 (2022) | es_ES |
dc.identifier.issn | 0020-0255 | |
dc.identifier.issn | 1872-6291 | |
dc.identifier.uri | http://hdl.handle.net/10810/55142 | |
dc.description.abstract | [EN] The use of decision trees considerably improves the discriminating capacity of ensemble classifiers. However, this process results in the classifiers no longer being interpretable, although comprehensibility is a desired trait of decision trees. Consolidation (consolidated tree construction algorithm, CTC) was introduced to improve the discriminating capacity of decision trees, whereby a set of samples is used to build the consolidated tree without sacrificing transparency. In this work, PCTBagging is presented as a hybrid approach between bagging and a consolidated tree such that part of the comprehensibility of the consolidated tree is maintained while also improving the discriminating capacity. The consolidated tree is first developed up to a certain point and then typical bagging is performed for each sample. The part of the consolidated tree to be initially developed is configured by setting a consolidation percentage. In this work, 11 different consolidation percentages are considered for PCTBagging to effectively analyse the trade-off between comprehensibility and discriminating capacity. The results of PCTBagging are compared to those of bagging, CTC and C4.5, which serves as the base for all other algorithms. PCTBagging, with a low consolidation percentage, achieves a discriminating capacity similar to that of bagging while maintaining part of the interpretable structure of the consolidated tree. PCTBagging with a consolidation percentage of 100% offers the same comprehensibility as CTC, but achieves a significantly greater discriminating capacity. | es_ES |
dc.description.sponsorship | This work was funded by the Department of Education, Universities and Research of the Basque Government (ADIAN, IT980-16); and by the Ministry of Economy and Competitiveness of the Spanish Government and the European Regional Development Fund -ERDF (PhysComp, TIN2017-85409-P). We would also like to thank our former undergraduate student Ander Otsoa de Alda, who participated in the implementation of the PCTBagging algorithm for the WEKA platform. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICIU/TIN2017-85409-P | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | comprehensible classifiers | es_ES |
dc.subject | interpretable models | es_ES |
dc.subject | decision trees | es_ES |
dc.subject | consolidation | es_ES |
dc.subject | ensembles | es_ES |
dc.subject | C4.5 | es_ES |
dc.subject | CTC | es_ES |
dc.subject | bagging | es_ES |
dc.subject | machine learning | es_ES |
dc.title | PCTBagging: From inner ensembles to ensembles. A trade-off between discriminating capacity and interpretability | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | (c) 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). | es_ES |
dc.rights.holder | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0020025521011208?via%3Dihub | es_ES |
dc.identifier.doi | 10.1016/j.ins.2021.11.010 | |
dc.departamentoes | Arquitectura y Tecnología de Computadores | es_ES |
dc.departamentoes | Lenguajes y sistemas informáticos | es_ES |
dc.departamentoeu | Hizkuntza eta sistema informatikoak | es_ES |
dc.departamentoeu | Konputagailuen Arkitektura eta Teknologia | es_ES |