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...

Descripción completa

Detalles Bibliográficos
Autores principales: AlShourbaji, Ibrahim, Helian, Na, Sun, Yi, Hussien, Abdelazim G., Abualigah, Laith, Elnaim, Bushra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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

Ejemplares similares