Regression on Noisy Yinyang d = 2
228.5Median SSEkNN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| kNNParameter=neighbor=6, 5-fold cross-validation=true2023.03 | 228.5 | 213 | 244.3 | |
| S-LsplineNumber of knots=226, 5-fold cross-validation=true2023.03 | 234.3 | 218.5 | 249.8 | |
| S-KernelNumber of knots=226, Parameter=bandwidth = 4 rhns, 5-fold cross-validation=true2023.03 | 239 | 223.2 | 254.4 | |
| SpecSeriesParameter=bandwidth = 0.1, 5-fold cross-validation=true2023.03 | 243.9 | 229 | 259 | |
| S-kNNNumber of knots=226, Parameter=neighbor = 9, 5-fold cross-validation=true2023.03 | 250.7 | 234.4 | 264.7 | |
| Fast-KRRParameter=sigma = 1, 5-fold cross-validation=true2023.03 | 497.8 | 475.3 | 520.6 | |
| RidgeParameter=lambda = 0.005, 5-fold cross-validation=true2023.03 | 1,938.5 | 1,906 | 1,973 | |
| LassoParameter=lambda = 0.0016, 5-fold cross-validation=true2023.03 | 1,938.6 | 1,905.8 | 1,972.9 |