Utilizing data sampling techniques on algorithmic fairness for customer churn prediction with data imbalance problems

Background: Customer churn prediction (CCP) refers to detecting which customers are likely to cancel the services provided by a service provider, for example, internet services. The class imbalance problem (CIP) in machine learning occurs when there is a huge difference in the samples of the positiv...

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Detalles Bibliográficos
Autores principales: Maw, Maw, Haw, Su-Cheng, Ho, Chin-Kuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428497/
https://www.ncbi.nlm.nih.gov/pubmed/36071889
http://dx.doi.org/10.12688/f1000research.72929.2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428497/
https://www.ncbi.nlm.nih.gov/pubmed/36071889
http://dx.doi.org/10.12688/f1000research.72929.2

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