Regression on Swiss Roll d = 1000 (cross-validation)
458.2Median SSES-Kernel
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| S-Kernelnknots=30, Parameter=bandwidth = 2 r_hns2023.03 | 458.2 | 409 | 511.8 | |
| S-kNNnknots=30, Parameter=neighbor = 182023.03 | 474.7 | 417.6 | 553.4 | |
| S-Lsplinenknots=60, Parameter=λ = 02023.03 | 569.8 | 519.5 | 645.8 | |
| kNNnknots=-, Parameter=neighbor=122023.03 | 648.5 | 607.1 | 696 | |
| SpecSeriesnknots=-, Parameter=bandwidth = 2.02023.03 | 1,166.5 | 1,081.4 | 1,238.8 | |
| Lassonknots=-, Parameter=λ = 0.0322023.03 | 1,191.4 | 1,106.7 | 1,260.7 | |
| Fast-KRRnknots=-, Parameter=σ = 0.12023.03 | 1,503.5 | 1,403.2 | 1,592.9 | |
| 3-layer MLP AEnknots=-, Parameter=h = 50, λ = 1002023.03 | 1,505.2 | 1,405.1 | 1,649.5 | |
| Ridgenknots=-, Parameter=λ = 2.02023.03 | 1,513.7 | 1,394.4 | 1,616.2 |