Studying the perturbation-based oversampling technique for imbalanced classification problems

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dc.contributor.advisorTFESanz Delgado, JosƩ Antonio
dc.contributor.affiliationEscuela TĆ©cnica Superior de IngenierĆ­a Industrial, InformĆ”tica y de TelecomunicaciĆ³nes_ES
dc.contributor.affiliationIndustria, Informatika eta Telekomunikazio Ingeniaritzako Goi Mailako Eskola Teknikoaeu
dc.contributor.authorSaalim, Mehsun Ihtiyan
dc.date.accessioned2023-09-20T11:20:38Z
dc.date.available2023-09-20T11:20:38Z
dc.date.issued2023
dc.date.updated2023-09-19T10:37:18Z
dc.description.abstractThis study aims to implement, analyze, and compare the effectiveness of a novel technique known as Perturbation-Based Oversampling (POS). This technique is designed to address class imbalance in machine learning by augmenting the minority class instances by strategically perturbing features using a hyperparameter ā€™pā€™. Two additional variations, namely POS 1.0 and POS 2.0, have been proposed as extensions of the original POS approach. Detailed experiments have been conducted across diverse datasets, presenting a comprehensive performance evaluation in terms of precision when compared to a selection of established methods designed to tackle unbalanced classification challenges.en
dc.description.degreeGraduado o Graduada en IngenierĆ­a InformĆ”tica por la Universidad PĆŗblica de Navarra (Programa Internacional)es_ES
dc.description.degreeInformatika Ingeniaritzan Graduatua Nafarroako Unibertsitate Publikoan (Nazioarteko Programa)eu
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/46374
dc.language.isoengen
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectClassificationen
dc.subjectImbalanced problemsen
dc.subjectOversamplingen
dc.subjectFeaturesen
dc.subjectImbalanced ratioen
dc.subjectPerturbationen
dc.titleStudying the perturbation-based oversampling technique for imbalanced classification problemsen
dc.typeinfo:eu-repo/semantics/bachelorThesis
dspace.entity.typePublication
relation.isAdvisorTFEOfPublication04db2b7d-89dc-4815-be4a-4b201cdce99b
relation.isAdvisorTFEOfPublication.latestForDiscovery04db2b7d-89dc-4815-be4a-4b201cdce99b

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