Classification on Synthetic (Recall)
0.901RecallRMB-CLE-via-LGBM
Evaluation Results
| Method | Links | |
|---|---|---|
| RMB-CLE-via-LGBMBase Learner=LGBM, Framework=RMB-CLE2026.02 | 0.901 | |
| Cluster-Known-LGBMBase Learner=LGBM, Framework=Cluster-Known (Upper Bound)2026.02 | 0.901 | |
| ST-LGBMBase Learner=LGBM, Framework=Single-Task2026.02 | 0.789 | |
| RMB-CLE-via-MTGBBase Learner=MTGB, Framework=RMB-CLE2026.02 | 0.767 | |
| Cluster-Known-MTGBBase Learner=MTGB, Framework=Cluster-Known (Upper Bound)2026.02 | 0.767 | |
| ST-GBBase Learner=Gradient Boosting, Framework=Single-Task2026.02 | 0.759 | |
| MTGBBase Learner=MTGB, Framework=MTGB2026.02 | 0.698 | |
| R-MTGBBase Learner=MTGB, Framework=R-MTGB2026.02 | 0.69 | |
| TaF-LGBMBase Learner=LGBM, Framework=TaF2026.02 | 0.616 | |
| DP-LGBMBase Learner=LGBM, Framework=DP2026.02 | 0.616 | |
| TaF-GBBase Learner=Gradient Boosting, Framework=TaF2026.02 | 0.611 | |
| DP-GBBase Learner=Gradient Boosting, Framework=DP2026.02 | 0.611 |