Credit Default Classification on Polish
96.83AUC-ROCSTRIKE
Evaluation results
| Method | Links | |
|---|---|---|
| STRIKECategory=Proposed Framework2026.04 | 96.83 | |
| LightGBMCategory=Tree-Based Ensembles2026.04 | 95.18 | |
| XGBoostCategory=Tree-Based Ensembles2026.04 | 95.08 | |
| CatBoostCategory=Tree-Based Ensembles2026.04 | 94.43 | |
| GBDTCategory=Tree-Based Ensembles2026.04 | 93.52 | |
| AdaBoostCategory=Tree-Based Ensembles2026.04 | 87.07 | |
| RFCategory=Tree-Based Ensembles2026.04 | 87.04 | |
| SR-1D-CNNCategory=Deep Learning / Neural Networks2026.04 | 81.49 | |
| DTCategory=Traditional Baselines2026.04 | 75.32 | |
| DeepFMCategory=Deep Learning / Neural Networks2026.04 | 56.59 | |
| DCN-V2Category=Deep Learning / Neural Networks2026.04 | 56.56 | |
| TabNetCategory=Deep Learning / Neural Networks2026.04 | 53.57 | |
| MLPCategory=Deep Learning / Neural Networks2026.04 | 53.4 | |
| LRCategory=Traditional Baselines2026.04 | 53 | |
| 1D CNNCategory=Deep Learning / Neural Networks2026.04 | 52.35 |