1. Repositório Aberto da Universidade do Porto
  2. FEP - Faculdade de Economia
  3. FEP - Dissertação
Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/153571
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dc.creatorAlex Francisco Fernandes Alves
dc.date.accessioned2025-11-10T23:38:40Z-
dc.date.available2025-11-10T23:38:40Z-
dc.date.issued2023-11-02
dc.date.submitted2023-10-03
dc.identifier.othersigarra:647114
dc.identifier.urihttps://hdl.handle.net/10216/153571-
dc.language.isoeng
dc.rightsopenAccess
dc.subjectCiências sociais
dc.subjectSocial sciences
dc.titleWhat are the most relevant variables for predicting income inequality?: a machine learning approach
dc.typeDissertação
dc.contributor.uportoFaculdade de Economia
dc.identifier.doi10.34626/71hj-vt13
dc.identifier.tid203554159
dc.subject.fosCiências sociais
dc.subject.fosSocial sciences
thesis.degree.disciplineMestrado em Modelação, Análise de Dados e Sistemas de Apoio à Decisão
thesis.degree.grantorFaculdade de Economia
thesis.degree.grantorUniversidade do Porto
thesis.degree.level1
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