Time Series Forecasting on ETTm2 (MSE, MAE, DTW, TDI)
0.254MSESTaT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| STaTlearning_protocol=Few-shot, training_data=10%2026.05 | 0.254 | 0.315 | 5.033 | 0.119 | |
| Time-VLMlearning_protocol=Few-shot, training_data=10%2026.05 | 0.263 | 0.323 | 5.376 | 0.127 | |
| Time-LLMlearning_protocol=Few-shot, training_data=10%2026.05 | 0.277 | 0.323 | 5.736 | 0.137 | |
| GPT4TSlearning_protocol=Few-shot, training_data=10%2026.05 | 0.293 | 0.335 | 5.225 | 0.128 | |
| PatchTSTlearning_protocol=Few-shot, training_data=10%2026.05 | 0.296 | 0.343 | 5.636 | 0.133 | |
| TimeCMAlearning_protocol=Few-shot, training_data=10%2026.05 | 0.302 | 0.339 | 5.511 | 0.129 | |
| DLinearlearning_protocol=Few-shot, training_data=10%2026.05 | 0.316 | 0.368 | 5.312 | 0.132 | |
| TimesNetlearning_protocol=Few-shot, training_data=10%2026.05 | 0.32 | 0.353 | 7.055 | 0.175 | |
| Stationarylearning_protocol=Few-shot, training_data=10%2026.05 | 0.332 | 0.366 | 6.964 | 0.192 | |
| FEDformerlearning_protocol=Few-shot, training_data=10%2026.05 | 0.463 | 0.488 | 6.453 | 0.143 |