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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
F1000 Research Limited
2022
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| Materias: | |
| 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 |