Multiclass classification on Blockchain Transaction Dataset (test)
99.76AUROCRandom Forest
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Random Forest2026.02 | 99.76 | 98.24 | 97.14 | 97.08 | |
| LightGBM2026.02 | 99.76 | 98.45 | 97.55 | 97.42 | |
| CatBoost2026.02 | 99.74 | 98.57 | 97.75 | 97.57 | |
| XGBoost2026.02 | 99.74 | 98.51 | 97.66 | 97.6 | |
| GNN2026.02 | 96.83 | 82.9 | 80.48 | 76.99 | |
| DNN2026.02 | 96.17 | 91.92 | 87.08 | 85.04 | |
| Logistic Regression2026.02 | 93.85 | 83.87 | 78.31 | 74.99 |