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Modelos de clasificación con datos desbalanceados: Estudio de la morosidad

descriptionPublicationkeyboard_double_arrow_right Bachelor thesis 01 Jan 2024 Spain Spanish Publisher:Universitat Politècnica de Catalunya
Authors: Bentohami Amiah, Ayoub;

handle: 2445/221939 , 2117/429441

Modelos de clasificación con datos desbalanceados: Estudio de la morosidad

Abstract

Análisis del impacto de la morosidad en el pago de préstamos. Se examina los efectos a nivel macroeconómico y microeconómico respecto a entidades financieras, y se estudian metodologías para prevenir este fenómeno. Por otro lado, se estudia como el machine learning contribuye a la detección de posibles morosos para reducir el riesgo de impago al que las entidades se exponen, teniendo en cuenta problemáticas como el desbalance de clases.

Treballs Finals del Grau d'Economia i Estadística. Doble titulació interuniversitària, Universitat de Barcelona i Universitat Politècnica de Catalunya. Curs: 2023-2024. Tutor: Francisco Javier Sierra Martínez

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Spain
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Keywords

Àrees temàtiques de la UPC::Matemàtiques i estadística, Statistics, Bachelor's theses, Classificació AMS::62 Statistics::62H Multivariate analysis, Estadística, Treballs de fi de grau, Gestió del risc, Multivariate analysis, Risk management, Aprenentatge automàtic, Machine learning, Anàlisi multivariable, Préstecs bancaris -- Gestió del risc, Bank loans, Bank loans -- Risk assessment, Préstecs bancaris

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green