Utilizing data sampling techniques on algorithmic fairness for customer churn prediction with data imbalance problems [version 2; peer review: 1 approved, 2 approved with reservations]
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2022-06-01
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| Series: | F1000Research |
| Subjects: | |
| Online Access: | https://f1000research.com/articles/10-988/v2 |