Regression on BUZZ
0.017NLLBTE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| BTEn (Samples)=373280, d (Dimensions)=77, GPU Type=Tesla V100-SXM2-16GB, Feature Transformation=ECDF, Precision=Pnew2022.10 | 0.017 | 0.249 | 82.8 | — | — | |
| BTn (Samples)=373280, d (Dimensions)=77, GPU Type=Tesla V100-SXM2-16GB, Feature Transformation=ECDF, Precision=Pnew2022.10 | 0.034 | 0.253 | 59.8 | — | — | |
| SGPRn (Samples)=373280, d (Dimensions)=77, GPU Type=Tesla V100-SXM2-32GB, Feature Transformation=ECDF, Precision=Pnew2022.10 | 0.106 | 0.3 | 29.25 | — | — | |
| SVGPn (Samples)=373280, d (Dimensions)=77, GPU Type=Tesla V100-SXM2-32GB, Feature Transformation=ECDF, Precision=Pnew2022.10 | 0.224 | 0.304 | 46.35 | — | — | |
| SVGPNoise Level=Standard2023.06 | 0.25 | 0.33 | 25.6 | — | — | |
| MATÉRN (BBMM)n (Samples)=373280, d (Dimensions)=77, GPU Type=Tesla V100-SXM2-32GB, Feature Transformation=ECDF, Precision=Pnew2022.10 | 0.267 | 0.288 | 571.15 | — | — | |
| SGD-GPNoise Level=Standard2023.06 | 0.83 | 0.42 | 347 | — | — | |
| CGNoise Level=Standard2023.06 | 2.38 | 1.41 | 351 | — | — | |
| CGNoise Level=Low2023.06 | — | — | — | 5.66 | — | |
| FM-GPd=77, n=5812502026.05 | — | — | — | — | 23.7 | |
| GPnnd=77, n=5812502026.05 | — | — | — | — | 129 | |
| SGD-GPNoise Level=Low2023.06 | — | — | — | 0.42 | — | |
| Vard=77, n=5812502026.05 | — | — | — | — | 102 |