Time Series Forecasting on ETTh1 (MSE, MAE, DTW, TDI)
0.41MSESTaT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| STaTlearning_protocol=Few-shot, training_data=10%2026.05 | 0.41 | 0.428 | 6.908 | 0.064 | |
| Time-VLMlearning_protocol=Few-shot, training_data=10%2026.05 | 0.432 | 0.442 | 7.409 | 0.069 | |
| TimeCMAlearning_protocol=Few-shot, training_data=10%2026.05 | 0.498 | 0.47 | 7.453 | 0.064 | |
| Time-LLMlearning_protocol=Few-shot, training_data=10%2026.05 | 0.555 | 0.522 | 9.286 | 0.116 | |
| GPT4TSlearning_protocol=Few-shot, training_data=10%2026.05 | 0.59 | 0.525 | 7.248 | 0.07 | |
| PatchTSTlearning_protocol=Few-shot, training_data=10%2026.05 | 0.633 | 0.542 | 7.221 | 0.073 | |
| FEDformerlearning_protocol=Few-shot, training_data=10%2026.05 | 0.639 | 0.561 | 8.006 | 0.091 | |
| DLinearlearning_protocol=Few-shot, training_data=10%2026.05 | 0.691 | 0.6 | 7.34 | 0.083 | |
| TimesNetlearning_protocol=Few-shot, training_data=10%2026.05 | 0.869 | 0.628 | 7.97 | 0.088 | |
| Stationarylearning_protocol=Few-shot, training_data=10%2026.05 | 0.915 | 0.639 | 8.863 | 0.118 |