Regression on Airline (test)
-0.7015NLLSOT
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| SOTSearch Algorithm=Symbolical-Optimal-Transport (SOT)2022.10 | -0.7015 | — | — | — | — | — | |
| Tree-GEPSearch Algorithm=Evolutionary Algorithm (TreeGEP)2022.10 | -0.5594 | — | — | — | — | — | |
| GreedySearch Algorithm=Greedy search2022.10 | -0.4042 | — | — | — | — | — | |
| HellingerSearch Algorithm=BO with Hellinger kernel-kernel2022.10 | 0.3368 | — | — | — | — | — | |
| RBFEvaluation=point evaluation2022.10 | 0.3978 | 0.3598 | — | — | — | — | |
| FKLEvaluation=point evaluation2022.10 | 0.4712 | 0.3614 | — | — | — | — | |
| VaLLA 200Number of inducing points=2002026.06 | 4.918 | — | — | — | 18.615 | 0.107 | |
| VaLLA 100Number of inducing points=1002026.06 | 4.923 | — | — | — | 18.61 | 0.109 | |
| ELLALaplace approximation variant=accelerated2026.06 | 5.086 | — | — | — | 18.437 | 0.158 | |
| MAPbaseline=maximum-a-posteriori2026.06 | 5.087 | — | — | — | 18.436 | 0.158 | |
| LLA DiagLaplace approximation variant=diagonal2026.06 | 5.096 | — | — | — | 18.317 | 0.144 | |
| LLA KFACLaplace approximation variant=Kronecker-factorized2026.06 | 5.097 | — | — | — | 18.317 | 0.144 | |
| LLA*Laplace approximation variant=last-layer2026.06 | 5.097 | — | — | — | 18.319 | 0.144 | |
| LLA* KFACLaplace approximation variant=last-layer Kronecker-factorized2026.06 | 5.097 | — | — | — | 18.317 | 0.144 | |
| Cross-Validated (CV) modelN (sample size)=5929413, D (data dimensionality)=8, I (number of basis functions per dimension)=64, R (CPD rank)=202025.12 | — | — | 0.779 | 56,590 | — | — | |
| Feature Learning (FL) modelN (sample size)=5929413, D (data dimensionality)=8, I (number of basis functions per dimension)=64, R (CPD rank)=202025.12 | — | — | 0.804 | 15,159 | — | — |