Calibrated, cost-sensitive, explainable ensemble learning for customer churn prediction in retail banking: a leakage-safe pipeline and single-dataset case study.
Journal: Frontiers in artificial intelligence
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How to Cite this Article
Karim F, Alam MI, Lalafaryan A, et al. (2026). "Calibrated, cost-sensitive, explainable ensemble learning for customer churn prediction in retail banking: a leakage-safe pipeline and single-dataset case study.". Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1889639