Surrogate Learning on Synthetic Scenario Case a
0.34MAESurrogate index
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Surrogate indexvariant=histogram gradient boosting2026.05 | 0.34 | 54 | |
| Surrogate samplingvariant=linear2026.05 | 0.5 | 65 | |
| Bound regressionvariant=tree2026.05 | 0.68 | 44 | |
| Surrogate indexvariant=tree2026.05 | 0.86 | 33 | |
| Outcome reg.variant=tree2026.05 | 0.87 | 33 | |
| Reg.-sel.-reg.variant=tree2026.05 | 1.23 | 41 | |
| Outcome reg.variant=linear2026.05 | 1.53 | 40 | |
| Surrogate indexvariant=linear2026.05 | 1.68 | 31 | |
| Bound regressionvariant=linear2026.05 | 1.69 | 37 | |
| Reg.-sel.-reg.variant=linear2026.05 | 2.22 | 27 |