Subset-level sensitivity prediction on Sampled (test)
0.206MAEKnot
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Knot2026.05 | 0.206 | 0.303 | 0.731 | 0.715 | |
| MC-S16Monte Carlo samples=162026.05 | 0.272 | 0.383 | 0.57 | 0.577 | |
| MC-S4Monte Carlo samples=42026.05 | 0.273 | 0.39 | 0.559 | 0.569 | |
| Lex-HGB2026.05 | 0.274 | 0.35 | 0.617 | 0.613 | |
| Lex-MLP2026.05 | 0.277 | 0.364 | 0.583 | 0.591 | |
| Lex-ET2026.05 | 0.279 | 0.345 | 0.633 | 0.624 | |
| Lex-Ridge2026.05 | 0.31 | 0.365 | 0.579 | 0.596 | |
| Size2026.05 | 0.388 | 0.412 | 0.389 | 0.444 | |
| LOO2026.05 | 0.394 | 0.56 | 0.236 | 0.262 | |
| BM252026.05 | 0.399 | 0.426 | 0.288 | 0.325 | |
| LLM-Rank2026.05 | 0.399 | 0.562 | 0.408 | 0.479 |