Surrogate Learning on Synthetic Scenario Case c
0.2MAESurrogate sampling
Evaluation Results
| Method | Links | |
|---|---|---|
| Surrogate samplingvariant=linear2026.05 | 0.2 | |
| Surrogate indexvariant=histogram gradient boosting2026.05 | 0.25 | |
| Reg.-sel.-reg.variant=tree2026.05 | 0.26 | |
| Reg.-sel.-reg.variant=linear2026.05 | 0.32 | |
| Bound regressionvariant=tree2026.05 | 0.32 | |
| Surrogate indexvariant=tree2026.05 | 0.35 | |
| Bound regressionvariant=linear2026.05 | 0.35 | |
| Outcome reg.variant=tree2026.05 | 0.41 | |
| Outcome reg.variant=linear2026.05 | 0.55 | |
| Surrogate indexvariant=linear2026.05 | 0.64 |