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An efficient churn prediction model using gradient boosting machine and metaheuristic optimization
Customer churn remains a critical challenge in telecommunications, necessitating effective churn prediction (CP) methodologies. This paper introduces the Enhanced Gradient Boosting Model (EGBM), which uses a Support Vector Machine with a Radial Basis Function kernel (SVM(RBF)) as a base learner and...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475067/ https://www.ncbi.nlm.nih.gov/pubmed/37660198 http://dx.doi.org/10.1038/s41598-023-41093-6 |