Research on telecom industry customer churn prediction based on explainable machine learning models
In the telecom industry, accurate prediction of customer churn is crucial for the companies involved to maintain market competitiveness and increase revenue. To this end, a customer churn prediction framework combining CatBoost algorithm and SHAP model was proposed, aiming to improve the accuracy of...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2024-07-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024166/ |
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