Regression on SARCOS (RMSE)
1.61RMSEBLL
Evaluation results
| Method | Links | |
|---|---|---|
| BLLLearning Rate Regime=Low2026.07 | 1.61 | |
| MFVILearning Rate Regime=Low2026.07 | 2.09 | |
| BDKNLearning Rate Regime=Low2026.07 | 2.13 | |
| DELearning Rate Regime=Low2026.07 | 2.14 | |
| VBLLLearning Rate Regime=Low2026.07 | 2.21 | |
| RMB-CLEbase_booster=LGBM2026.02 | 2.507 | |
| DKLLearning Rate Regime=Low2026.07 | 3.46 | |
| BLLExperimental setting=1 (high learning rate), Learning rate=0.1, Training epochs=40, Batch size=32, Architecture=2 hidden layers (50 neurons)2026.07 | 3.68 | |
| BDKNExperimental setting=1 (high learning rate), Learning rate=0.1, Training epochs=40, Batch size=32, Architecture=2 hidden layers (50 neurons), Feature maps (H)=52026.07 | 3.94 | |
| R-MTGB2026.02 | 4.698 | |
| MTGB2026.02 | 4.808 | |
| STbase_booster=GB2026.02 | 4.919 | |
| STbase_booster=LGBM2026.02 | 4.926 | |
| VBLLExperimental setting=1 (high learning rate), Learning rate=0.1, Training epochs=40, Batch size=32, Architecture=2 hidden layers (50 neurons)2026.07 | 5.47 | |
| DKLExperimental setting=1 (high learning rate), Learning rate=0.1, Training epochs=40, Batch size=32, Architecture=2 hidden layers (50 neurons)2026.07 | 5.61 | |
| LDBLLLearning Rate Regime=Low2026.07 | 9.25 | |
| RMB-CLEbase_booster=MTGB2026.02 | 10.776 | |
| TaFbase_booster=GB2026.02 | 11.266 | |
| TaFbase_booster=LGBM2026.02 | 11.266 | |
| LDBLLExperimental setting=1 (high learning rate), Learning rate=0.1, Training epochs=40, Batch size=32, Architecture=2 hidden layers (50 neurons)2026.07 | 12.11 | |
| MFVIExperimental setting=1 (high learning rate), Learning rate=0.1, Training epochs=40, Batch size=32, Architecture=2 hidden layers (50 neurons)2026.07 | 15.44 | |
| DPbase_booster=LGBM2026.02 | 18.395 | |
| DPbase_booster=GB2026.02 | 18.397 | |
| DEExperimental setting=1 (high learning rate), Learning rate=0.1, Training epochs=40, Batch size=32, Architecture=2 hidden layers (50 neurons)2026.07 | 53.62 |