Classification on dilbert (AUROC)
100AUROCTabResNet
Evaluation results
| Method | Links | |
|---|---|---|
| TabResNet2025.03 | 100 | |
| CatBoost2025.03 | 100 | |
| IMN2025.03 | 100 | |
| Random Forest2025.03 | 99.9 | |
| TabNet2025.03 | 99.8 | |
| Logistic Regression2025.03 | 99.4 | |
| HyConEx2025.03 | 99.2 | |
| Decision Tree2025.03 | 87.3 |