Time Series Forecasting on ETTm1 (MSE, MAE, DTW, TDI)
0.353MSESTaT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| STaTlearning_protocol=Few-shot, training_data=10%2026.05 | 0.353 | 0.381 | 5.613 | 0.085 | |
| Time-VLMlearning_protocol=Few-shot, training_data=10%2026.05 | 0.361 | 0.382 | 6.144 | 0.09 | |
| Time-LLMlearning_protocol=Few-shot, training_data=10%2026.05 | 0.404 | 0.427 | 8.013 | 0.127 | |
| DLinearlearning_protocol=Few-shot, training_data=10%2026.05 | 0.411 | 0.429 | 6.01 | 0.09 | |
| TimeCMAlearning_protocol=Few-shot, training_data=10%2026.05 | 0.435 | 0.428 | 6.349 | 0.094 | |
| GPT4TSlearning_protocol=Few-shot, training_data=10%2026.05 | 0.464 | 0.441 | 5.998 | 0.089 | |
| PatchTSTlearning_protocol=Few-shot, training_data=10%2026.05 | 0.501 | 0.466 | 6.14 | 0.092 | |
| TimesNetlearning_protocol=Few-shot, training_data=10%2026.05 | 0.677 | 0.537 | 6.587 | 0.092 | |
| FEDformerlearning_protocol=Few-shot, training_data=10%2026.05 | 0.722 | 0.605 | 7.304 | 0.105 | |
| Stationarylearning_protocol=Few-shot, training_data=10%2026.05 | 0.797 | 0.578 | 7.321 | 0.117 |