Point prediction on Logistics Dataset Location L4, Delayed instances only
0.42Average QLDL (ours)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DL (ours)algorithm=multi-task deep learning model2026.02 | 0.42 | 0.91 | |
| XGB-S1algorithm=XGBoost, stages=single-step2026.02 | 0.64 | 1.7 | |
| CatB-S2algorithm=CatBoost, stages=two-step2026.02 | 0.65 | 1.4 | |
| XGB-S2algorithm=XGBoost, stages=two-step2026.02 | 0.67 | 1.4 | |
| CatB-S1algorithm=CatBoost, stages=single-step2026.02 | 0.79 | 1.86 |