Customer Churn Prediction on Public Bank Churn Dataset (test)
77.92RecallMLP
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| MLP2026.05 | 77.92 | 47.34 | 58.73 | 0.834 | 0.593 | |
| FT-Transformer2026.05 | 76.1 | 50.91 | 61 | 0.852 | 0.621 | |
| Stacked EnsembleComposition=FT-Transformer + XGBoost Stacked Ensemble2026.05 | 75.4 | 53.2 | 62.1 | 0.861 | 0.647 | |
| Random Forest2026.05 | 72.38 | 50.67 | 59.61 | 0.828 | 0.558 | |
| CatBoost2026.05 | 71.34 | 51.23 | 58.45 | 0.841 | 0.574 | |
| XGBoost2026.05 | 71.12 | 51.89 | 58.21 | 0.839 | 0.571 | |
| LightGBM2026.05 | 70.89 | 50.12 | 57.89 | 0.836 | 0.568 | |
| Logistic Regression2026.05 | 70.45 | 48.21 | 57.24 | 0.812 | 0.521 |