Hanif, Iqbal (2020) Implementing Extreme Gradient Boosting (XGBoost) Classifier to Improve Customer Churn Prediction. In: Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bogor, Indonesia.
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Abstract
As a part of Customer Relationship Management (CRM), Churn Prediction is very important to predict customers who are most likely to churn and need to be retained with caring programs to prevent them to churn. Among machine learning algorithms, Extreme Gradient Boosting (XGBoost) is a recently popula
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 12:54 |
| Last Modified: | 17 Apr 2026 12:25 |
| URI: | http://eprints.eai.eu/id/eprint/27022 |
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