Surrogate Learning on Synthetic Scenario Case b
0.09MAESurrogate sampling
Evaluation results
| Method | Links | |
|---|---|---|
| Surrogate samplingvariant=linear2026.05 | 0.09 | |
| Surrogate indexvariant=histogram gradient boosting2026.05 | 0.11 | |
| Outcome reg.variant=linear2026.05 | 0.14 | |
| Surrogate indexvariant=linear2026.05 | 0.16 | |
| Bound regressionvariant=linear2026.05 | 0.17 | |
| Bound regressionvariant=tree2026.05 | 0.31 | |
| Outcome reg.variant=tree2026.05 | 0.4 | |
| Surrogate indexvariant=tree2026.05 | 0.4 | |
| Reg.-sel.-reg.variant=tree2026.05 | 0.71 | |
| Reg.-sel.-reg.variant=linear2026.05 | 0.72 |