Regression on UCI KIN8NM (test)
-1.96NLLnGEM
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| nGEMOptimizer=Soap2026.02 | -1.96 | — | 0.11 | — | — | — | |
| NLLOptimizer=Soap2026.02 | -1.93 | — | 0.21 | — | — | — | |
| nGEMOptimizer=Muon2026.02 | -1.84 | — | 0.15 | — | — | — | |
| NLLOptimizer=Muon2026.02 | -1.8 | — | 0.25 | — | — | — | |
| nGEMOptimizer=Adam2026.02 | -1.73 | — | 0.17 | — | — | — | |
| NLLOptimizer=Adam2026.02 | -1.67 | — | 0.33 | — | — | — | |
| NLLOptimizer=KFAC2026.02 | -1.64 | — | 0.31 | — | — | — | |
| beta-NLLOptimizer=Adam2026.02 | -1.6 | — | 0.4 | — | — | — | |
| PBPtrials=20, train-test split=0.8-0.22022.07 | -1.28 | — | — | — | — | — | |
| Δ-UQtrials=20, train-test split=0.8-0.22022.07 | -1.19 | — | — | — | — | — | |
| DEnstrials=20, train-test split=0.8-0.22022.07 | -1.17 | — | — | — | — | — | |
| MCDtrials=20, train-test split=0.8-0.22022.07 | -1.14 | — | — | — | — | — | |
| BNNtrials=20, train-test split=0.8-0.22022.07 | -1.03 | — | — | — | — | — | |
| MCMCData Normalization=non-normalized2025.12 | -1.03 | — | — | — | — | — | |
| nGEMOptimizer=KFAC2026.02 | -0.69 | — | 0.65 | — | — | — | |
| SVIData Normalization=non-normalized2025.12 | -0.59 | — | — | — | — | — | |
| TAGIData Normalization=non-normalized2025.12 | -0.45 | — | — | — | — | — | |
| LaplaceData Normalization=non-normalized2025.12 | -0.43 | — | — | — | — | — | |
| KBNNData Normalization=non-normalized2025.12 | -0.41 | — | — | — | — | — | |
| DropoutData Normalization=non-normalized2025.12 | -0.08 | — | — | — | — | — | |
| DEMethod Class=ID-GVI2023.05 | 0.33 | — | — | — | — | — | |
| DRLEMethod Class=ID-GVI2023.05 | 0.46 | — | — | — | — | — | |
| HABNNData Normalization=non-normalized2025.12 | 2.87 | — | — | — | — | — | |
| DLEMethod Class=ID-GVI2023.05 | 13.25 | — | — | — | — | — | |
| PBPData Normalization=non-normalized2025.12 | 275.95 | — | — | — | — | — | |
| BBB2021.02 | — | 1.07 | — | — | — | — | |
| D.E2021.02 | — | 1.2 | — | — | — | — | |
| Ensemble-NNprediction interval=95%, evaluation=average of 20 train-test splits2026.03 | — | — | — | 92.7 | — | — | |
| FSP-LAPLACE2024.07 | — | -0.134 | — | — | — | — | |
| FVI2024.07 | — | -0.135 | — | — | — | — | |
| GP2024.07 | — | -1.174 | — | — | — | — | |
| LA-BNN2026.04 | — | — | — | 100 | 5.15 | — | |
| LA-BNN2026.04 | — | — | 0.25 | — | — | 0.39 | |
| LA-TNKM2026.04 | — | — | — | 95 | 1.55 | — | |
| LA-TNKM2026.04 | — | — | 0.39 | — | — | 0.02 | |
| LAPLACE2024.07 | — | 0.047 | — | — | — | — | |
| MAP2024.07 | — | -1.003 | — | — | — | — | |
| MCD2021.02 | — | 0.97 | — | — | — | — | |
| MDNprediction interval=95%, evaluation=average of 20 train-test splits2026.03 | — | — | — | 89.4 | — | — | |
| MF-BTN2026.04 | — | — | — | 96 | 3.89 | — | |
| MF-BTN2026.04 | — | — | 1 | — | — | 0.02 | |
| MNF2021.02 | — | 1.04 | — | — | — | — | |
| MSEOptimizer=Adam2026.02 | — | — | 0.39 | — | — | — | |
| NE-GMMprediction interval=95%, evaluation=average of 20 train-test splits2026.03 | — | — | — | 90.5 | — | — | |
| NGBoostprediction interval=95%, evaluation=average of 20 train-test splits2026.03 | — | — | — | 97.7 | — | — | |
| SampleNetprediction interval=95%, evaluation=average of 20 train-test splits2026.03 | — | — | — | 31.3 | — | — | |
| SLANG2021.02 | — | 1.06 | — | — | — | — | |
| SP-BTN2026.04 | — | — | — | 97 | 2.68 | — | |
| SP-BTN2026.04 | — | — | 0.57 | — | — | 0.07 | |
| SPARSE GP2024.07 | — | 1.423 | — | — | — | — | |
| VD2021.02 | — | 1.14 | — | — | — | — | |
| VMG2021.02 | — | 1.1 | — | — | — | — | |
| VSD2021.02 | — | 1.17 | — | — | — | — | |
| β-NLLprediction interval=95%, evaluation=average of 20 train-test splits2026.03 | — | — | — | 91.6 | — | — |