Surrogate Learning on Synthetic Scenario Case d Linear
0.03MAESurrogate sampling
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Surrogate samplingvariant=linear2026.05 | 0.03 | 97 | |
| Surrogate indexvariant=linear2026.05 | 0.04 | 96 | |
| Surrogate indexvariant=histogram gradient boosting2026.05 | 0.07 | 95 | |
| Surrogate indexvariant=tree2026.05 | 0.16 | 90 | |
| Outcome reg.variant=tree2026.05 | 0.93 | 89 | |
| Bound regressionvariant=linear2026.05 | 1.11 | 93 | |
| Bound regressionvariant=tree2026.05 | 1.27 | 89 | |
| Reg.-sel.-reg.variant=tree2026.05 | 1.4 | 81 | |
| Outcome reg.variant=linear2026.05 | 1.63 | 90 | |
| Reg.-sel.-reg.variant=linear2026.05 | 1.98 | 85 |