Customer churn prediction based on the integration of meta-learning network of the forest
To address the challenge of capturing temporal features in customer churn prediction tasks by tree models, a churn prediction method based on ensemble forest meta-learning network (EFML) was proposed. Firstly, data quality was improved through grouping strategies and class imbalance issues were addr...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2024-10-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024159/ |
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