Time Series Forecasting on ETTh1 5% (train)
0.39MSESSDA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SSDARatio=5%2026.05 | 0.39 | 0.401 | |
| VisionTSRatio=5%2026.05 | 0.409 | 0.403 | |
| FiCoTSInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.11 | 0.426 | 0.44 | |
| TimeVLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.11 | 0.442 | 0.453 | |
| Time-VLMRatio=5%2026.05 | 0.442 | 0.453 | |
| Time-LLMRatio=5%2026.05 | 0.627 | 0.543 | |
| TIME-LLMParameters (M)=6.46, Memory (MiB)=3907, Eff.*MSE=0.39, Eff.*MAE=0.38, Few-shot (5% data)=true2026.03 | 0.63 | 0.55 | |
| TimeLLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.11 | 0.648 | 0.549 | |
| S^2IP-LLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.11 | 0.65 | 0.55 | |
| FEDformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.11 | 0.658 | 0.562 | |
| FEDformerRatio=5%2026.05 | 0.658 | 0.562 | |
| EFDformerParameters (M)=16.8, Memory (MiB)=87.8, Eff.*MSE=0.12, Eff.*MAE=0.13, Few-shot (5% data)=true2026.03 | 0.66 | 0.56 | |
| GPT4TSParameters (M)=11.7, Memory (MiB)=371.0, Eff.*MSE=0.20, Eff.*MAE=0.20, Few-shot (5% data)=true2026.03 | 0.68 | 0.56 | |
| GPT4TSInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.11 | 0.681 | 0.56 | |
| GPT4TSRatio=5%2026.05 | 0.681 | 0.56 | |
| PatchTSTInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.11 | 0.694 | 0.569 | |
| PatchTSTRatio=5%2026.05 | 0.694 | 0.569 | |
| One-for-AllParameters (M)=0.55, Memory (MiB)=2.2, Eff.*MSE=3.92, Eff.*MAE=4.17, Few-shot (5% data)=true2026.03 | 0.71 | 0.57 | |
| AutoformerParameters (M)=10.53, Memory (MiB)=62.6, Eff.*MSE=0.18, Eff.*MAE=0.20, Few-shot (5% data)=true2026.03 | 0.72 | 0.6 | |
| AutoformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.11 | 0.722 | 0.598 | |
| DLinearInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Non-Transformer-based2025.11 | 0.75 | 0.611 | |
| DLinearRatio=5%2026.05 | 0.75 | 0.611 | |
| TimesNetParameters (M)=0.63, Memory (MiB)=2.9, Eff.*MSE=2.89, Eff.*MAE=3.39, Few-shot (5% data)=true2026.03 | 0.92 | 0.64 | |
| TimesNetInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Non-Transformer-based2025.11 | 0.925 | 0.647 | |
| TimesNetRatio=5%2026.05 | 0.925 | 0.647 | |
| TStationaryParameters (M)=2.02, Memory (MiB)=13.2, Eff.*MSE=0.84, Eff.*MAE=1.03, Few-shot (5% data)=true2026.03 | 0.94 | 0.64 | |
| iTransformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.11 | 1.07 | 0.71 | |
| ETSformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.11 | 1.189 | 0.839 | |
| ETSformerParameters (M)=5.28, Memory (MiB)=31.4, Eff.*MSE=0.24, Eff.*MAE=0.29, Few-shot (5% data)=true2026.03 | 1.19 | 0.84 | |
| InformerParameters (M)=11.33, Memory (MiB)=65.8, Eff.*MSE=0.04, Eff.*MAE=0.08, Few-shot (5% data)=true2026.03 | 1.22 | 0.82 | |
| InformerRatio=5%2026.05 | 1.225 | 0.817 | |
| ReformerParameters (M)=5.80, Memory (MiB)=33.4, Eff.*MSE=0.09, Eff.*MAE=0.17, Few-shot (5% data)=true2026.03 | 1.24 | 0.83 |