A stacking ensemble of FT-Transformer and XGBoost achieves superior F1 and AUC scores on a bank churn dataset compared to an MLP baseline under cross-validation.
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Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles
A stacking ensemble of FT-Transformer and XGBoost achieves superior F1 and AUC scores on a bank churn dataset compared to an MLP baseline under cross-validation.