An approach to train machine leaning algorithms

Fil: Álvarez, Diego Hernán. Universidad de San Andrés. Departamento de Economía; Argentina.

Detalles Bibliográficos
Autor principal: Álvarez, Diego Hernán
Otros Autores: Maurette, Manuel
Formato: Tesis Tesis de maestría updatedVersion
Lenguaje:Inglés
Publicado: Universidad de San Andrés. Departamento de Economía 2021
Acceso en línea:http://hdl.handle.net/10908/18483
Aporte de:
Repositorio Digital - Universidad de San Andrés (UdeSa) de Universidad de San Andrés
id I37-R143-10908-18483
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spelling I37-R143-10908-184832025-01-20T15:22:19Z An approach to train machine leaning algorithms Álvarez, Diego Hernán Maurette, Manuel Fil: Álvarez, Diego Hernán. Universidad de San Andrés. Departamento de Economía; Argentina. With the evolution of data mining the trend is to train more complex algorithms. Those sophisticated machine learning algorithms are being used in several fields to take important decisions. Examples in economics include credit scoring models, fraud detection, marketing campaigns, job applications, etc. However, modeling approach choices should not be biased towards complex machine learning algorithms necessarily. Before training machine learning algorithms a working plan should be designed. A strategy could be training a baseline, simple, and interpretable model and, then, rely on more complex ones to ascertain the extent of performance improvements. The purpose of this thesis is to train a logistic regression as a baseline model and challenge it with tree-based ensemble machine learning algorithms to test how much those more complex models improve performance and determine whether it is always worth training complex machine learning algorithms. 2021-08-18T20:53:06Z 2021-08-18T20:53:06Z 2020-11 Tesis info:eu-repo/semantics/masterThesis info:ar-repo/semantics/tesis de maestría info:eu-repo/semantics/updatedVersion Álvarez, D. H. (2020). An approach to train machine leaning algorithms. [Tesis de maestría, Universidad de San Andrés. Departamento de Economía]. Repositorio Digital San Andrés. http://hdl.handle.net/10908/18483 http://hdl.handle.net/10908/18483 eng info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf application/pdf Universidad de San Andrés. Departamento de Economía
institution Universidad de San Andrés
institution_str I-37
repository_str R-143
collection Repositorio Digital - Universidad de San Andrés (UdeSa)
language Inglés
description Fil: Álvarez, Diego Hernán. Universidad de San Andrés. Departamento de Economía; Argentina.
author2 Maurette, Manuel
author_facet Maurette, Manuel
Álvarez, Diego Hernán
format Tesis
Tesis de maestría
Tesis de maestría
updatedVersion
author Álvarez, Diego Hernán
spellingShingle Álvarez, Diego Hernán
An approach to train machine leaning algorithms
author_sort Álvarez, Diego Hernán
title An approach to train machine leaning algorithms
title_short An approach to train machine leaning algorithms
title_full An approach to train machine leaning algorithms
title_fullStr An approach to train machine leaning algorithms
title_full_unstemmed An approach to train machine leaning algorithms
title_sort approach to train machine leaning algorithms
publisher Universidad de San Andrés. Departamento de Economía
publishDate 2021
url http://hdl.handle.net/10908/18483
work_keys_str_mv AT alvarezdiegohernan anapproachtotrainmachineleaningalgorithms
AT alvarezdiegohernan approachtotrainmachineleaningalgorithms
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