Regression on Swiss Roll 100 points (train)
0.99R2 ScoreSupervised UMAP
Evaluation results
| Method | Links | |
|---|---|---|
| Supervised UMAPRegressor=k-NN, k=102026.05 | 0.99 | |
| SDRRegressor=k-NN, k=102026.05 | 0.99 | |
| SDRRegressor=KRR, alpha=1, Kernel=RBF2026.05 | 0.99 | |
| Supervised UMAPRegressor=KRR, alpha=1, Kernel=RBF2026.05 | 0.98 | |
| KS-PCARegressor=k-NN, k=102026.05 | 0.89 | |
| KS-PCARegressor=KRR, alpha=1, Kernel=RBF2026.05 | 0.86 |