Regression on Protein (test)
0.848MSERAND
Evaluation results
| Method | Links | ||
|---|---|---|---|
| RANDSearch budget=8 hours2018.02 | 0.848 | — | |
| NASBOTSearch budget=8 hours2018.02 | 0.902 | — | |
| TreeBOSearch budget=8 hours2018.02 | 0.998 | — | |
| EASearch budget=8 hours2018.02 | 1.01 | — | |
| SNGD-SVTP2024.08 | 4.84 | — | |
| NOVI2024.08 | 5.2 | — | |
| RSVGPR2024.08 | 6.51 | — | |
| SVGP2024.08 | 7.23 | — | |
| EBMType=Tree-based GAM2026.04 | 23.494 | — | |
| ParamBoostImplementation=JAX2026.04 | 23.584 | — | |
| NAMArchitecture=MLP (64, 64, 32), Optimizer=AdamW2026.04 | 24.224 | — | |
| APLRType=Piecewise-linear GAM2026.04 | 24.718 | — | |
| MGCVImplementation=PyMGCV, Bases=CubicSpline2026.04 | 27.186 | — | |
| Linear/Logistic regressionImplementation=scikit-learn2026.04 | 27.193 | — | |
| NBMArchitecture=100 shared basis functions, Optimizer=AdamW2026.04 | 30.901 | — | |
| CIBERstage=SECOND2023.06 | — | 0.438 | |
| CIBERstage=LAST2023.06 | — | 0.438 | |
| DKL2023.06 | — | 0.46 | |
| FF2023.06 | — | 0.47 | |
| NL2023.06 | — | 0.447 | |
| ORTHVGP2023.06 | — | 0.461 | |
| PCA+ESSmode=SI2023.06 | — | 0.425 | |
| PCA+VImode=SI2023.06 | — | 0.418 | |
| SGD2023.06 | — | 0.436 | |
| SWAG2023.06 | — | 0.415 |