Stacking Ensemble Approach for Churn Prediction: Integrating CNN and Machine Learning Models with CatBoost Meta-Learner
- DOI
- 10.33093/jetap.2023.5.2.12
- Published
- 2023-09-15
- Container
- Journal of Engineering Technology and Applied Physics
- Publisher
- Multimedia University
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.33093/jetap.2023.5.2.12,
title = {Stacking Ensemble Approach for Churn Prediction: Integrating CNN and Machine Learning Models with CatBoost Meta-Learner},
author = {Yan Lin Tan and Ying Han Pang and Shih Yin Ooi and Wee How Khoh and Fu San Hiew},
year = {2023},
journal = {Journal of Engineering Technology and Applied Physics},
doi = {10.33093/jetap.2023.5.2.12},
url = {https://doi.org/10.33093/jetap.2023.5.2.12}
}RIS
TY - JOUR TI - Stacking Ensemble Approach for Churn Prediction: Integrating CNN and Machine Learning Models with CatBoost Meta-Learner AU - Yan Lin Tan AU - Ying Han Pang AU - Shih Yin Ooi AU - Wee How Khoh AU - Fu San Hiew PY - 2023 JO - Journal of Engineering Technology and Applied Physics DO - 10.33093/jetap.2023.5.2.12 UR - https://doi.org/10.33093/jetap.2023.5.2.12 ER -
APA
Tan, Y. L., Pang, Y. H., Ooi, S. Y., Khoh, W. H., & Hiew, F. S. (2023). Stacking Ensemble Approach for Churn Prediction: Integrating CNN and Machine Learning Models with CatBoost Meta-Learner. Journal of Engineering Technology and Applied Physics. https://doi.org/10.33093/jetap.2023.5.2.12
Source records
- crossref · retrieved 2026-09-25T09:11:59.901Z