Regression on Synthetic
0.218MAERMB-CLE-via-LGBM
Evaluation Results
| Method | Links | |
|---|---|---|
| RMB-CLE-via-LGBMBase Learner=LGBM, Framework=RMB-CLE2026.02 | 0.218 | |
| Cluster-Known-LGBMBase Learner=LGBM, Framework=Cluster-Known (Upper Bound)2026.02 | 0.218 | |
| ST-LGBMBase Learner=LGBM, Framework=Single-Task2026.02 | 0.351 | |
| ST-GBBase Learner=Gradient Boosting, Framework=Single-Task2026.02 | 0.434 | |
| RMB-CLE-via-MTGBBase Learner=MTGB, Framework=RMB-CLE2026.02 | 0.435 | |
| Cluster-Known-MTGBBase Learner=MTGB, Framework=Cluster-Known (Upper Bound)2026.02 | 0.435 | |
| R-MTGBBase Learner=MTGB, Framework=R-MTGB2026.02 | 0.624 | |
| MTGBBase Learner=MTGB, Framework=MTGB2026.02 | 0.63 | |
| TaF-LGBMBase Learner=LGBM, Framework=TaF2026.02 | 0.636 | |
| TaF-GBBase Learner=Gradient Boosting, Framework=TaF2026.02 | 0.643 | |
| DP-LGBMBase Learner=LGBM, Framework=DP2026.02 | 0.676 | |
| DP-GBBase Learner=Gradient Boosting, Framework=DP2026.02 | 0.677 |