Regression on SwissRoll d = 3
309.1Median SSEkNN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| kNNnknots=-, Parameter=neighbor=62023.03 | 309.1 | 281.5 | 342.1 | |
| SpecSeriesnknots=-, Parameter=bandwidth = 0.12023.03 | 331.8 | 307.3 | 351.8 | |
| S-Kernelnknots=320, Parameter=bandwidth = 8 r_hns2023.03 | 348.1 | 345.5 | 365.3 | |
| S-kNNnknots=320, Parameter=neighbor = 92023.03 | 363.5 | 361.6 | 406.7 | |
| S-Lsplinenknots=160, Parameter=-2023.03 | 368.9 | 329.4 | 409.1 | |
| Fast-KRRnknots=-, Parameter=sigma = 12023.03 | 563.8 | 533 | 598.6 | |
| Lassonknots=-, Parameter=lambda = 0.00252023.03 | 1,123.3 | 1,053.9 | 1,201.3 | |
| Ridgenknots=-, Parameter=lambda = 0.001262023.03 | 1,123.8 | 1,054.6 | 1,202.4 |