Forecasting on Lorenz-63 10% Noise (test)
0.24Mean VPTKRR (Strong n/a)
Evaluation results
| Method | Links | |
|---|---|---|
| KRR (Strong n/a)Framework=Strong, Filtering=n/a2026.06 | 0.24 | |
| RAFDA2026.06 | 1.28 | |
| KRR (Strong Wavelet)Framework=Strong, Filtering=Wavelet2026.06 | 1.39 | |
| KRR (Strong Poly)Framework=Strong, Filtering=Poly, Test Function Parameters (p, L, h)=(5,0.5,0.1)2026.06 | 1.49 | |
| WKRR (Weak n/a)Framework=Weak, Filtering=n/a, Test Function Parameters (p, L, h)=(5,0.5,0.1)2026.06 | 1.58 | |
| WKRR (Weak DM n/a)Framework=Weak DM, Filtering=n/a, Test Function Parameters (p, L, h)=(5,0.5,0.1)2026.06 | 1.58 | |
| WKRR (Weak Poly)Framework=Weak, Filtering=Poly, Test Function Parameters (p, L, h)=(5,0.5,0.1)2026.06 | 1.6 | |
| WKRR (Weak DM Poly)Framework=Weak DM, Filtering=Poly, Test Function Parameters (p, L, h)=(5,0.5,0.1)2026.06 | 1.6 |