High-dimensional regression on Monotonic additive function
95.1Q2 ScorecGP mean
Evaluation results
| Method | Links | ||
|---|---|---|---|
| cGP meanDimension (d)=1000, Sample size (m)=5000, HMC samples=502022.05 | 95.1 | 10,454.3 | |
| cGP modeDimension (d)=1000, Sample size (m)=50002022.05 | 94.6 | 262.4 | |
| cGP meanDimension (d)=500, Sample size (m)=2500, HMC samples=502022.05 | 94.3 | 156.9 | |
| cGP modeDimension (d)=500, Sample size (m)=25002022.05 | 93.8 | 37 | |
| cGP meanDimension (d)=250, Sample size (m)=1250, HMC samples=10002022.05 | 93.4 | 132.3 | |
| cGP modeDimension (d)=250, Sample size (m)=12502022.05 | 92.9 | 4.2 | |
| GP meanDimension (d)=1000, Sample size (m)=50002022.05 | 92.6 | — | |
| GP meanDimension (d)=500, Sample size (m)=25002022.05 | 92.5 | — | |
| GP meanDimension (d)=250, Sample size (m)=12502022.05 | 91.7 | — | |
| cGP meanDimension (d)=100, Sample size (m)=500, HMC samples=10002022.05 | 91.5 | 5.2 | |
| cGP modeDimension (d)=100, Sample size (m)=5002022.05 | 90.7 | 0.4 | |
| GP meanDimension (d)=100, Sample size (m)=5002022.05 | 89.8 | — | |
| cGP meanDimension (d)=10, Sample size (m)=50, HMC samples=10002022.05 | 88.1 | 0.1 | |
| cGP modeDimension (d)=10, Sample size (m)=502022.05 | 83.8 | 0.1 | |
| GP meanDimension (d)=10, Sample size (m)=502022.05 | 82.3 | — |