Time Series Forecasting on Exchange (MSE, MAE, DTW, TDI)
0.392MSESTaT
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| STaTlearning_protocol=Few-shot, training_data=10%2026.05 | 0.392 | 0.427 | 7.049 | 0.209 | |
| DLinearlearning_protocol=Few-shot, training_data=10%2026.05 | 0.41 | 0.47 | 6.65 | 0.249 | |
| Time-LLMlearning_protocol=Few-shot, training_data=10%2026.05 | 0.422 | 0.482 | 7.752 | 0.255 | |
| GPT4TSlearning_protocol=Few-shot, training_data=10%2026.05 | 0.456 | 0.455 | 9.646 | 0.251 | |
| TimeCMAlearning_protocol=Few-shot, training_data=10%2026.05 | 0.5 | 0.477 | 7.856 | 0.269 | |
| PatchTSTlearning_protocol=Few-shot, training_data=10%2026.05 | 0.521 | 0.468 | 8.358 | 0.276 | |
| Time-VLMlearning_protocol=Few-shot, training_data=10%2026.05 | 0.524 | 0.475 | 8.375 | 0.291 | |
| Stationarylearning_protocol=Few-shot, training_data=10%2026.05 | 0.692 | 0.574 | 10.839 | 0.234 | |
| TimesNetlearning_protocol=Few-shot, training_data=10%2026.05 | 0.917 | 0.685 | 12.434 | 0.236 | |
| FEDformerlearning_protocol=Few-shot, training_data=10%2026.05 | 0.935 | 0.724 | 13.615 | 0.203 |