Predicting customer subscription in bank telemarketing campaigns using ensemble learning models

Predicting customer subscription in bank telemarketing campaigns using ensemble learning models

This study investigates the use of ensemble learning models bagging, boosting, and stacking to enhance the accuracy and reliability of predicting customer subscriptions in bank telemarketing campaigns. Recognizing the challenges posed by class imbalance and complex customer behaviors, we employ mult...

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Bibliographic Details
Main Authors: Michael Peter, Hawa Mofi, Said Likoko, Julius Sabas, Ramadhani Mbura, Neema Mduma
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Machine Learning with Applications
Subjects:
Ensemble learning
Subscription prediction
Telemarketing campaign
Feature importance
Predictive modeling
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827025000015
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