Time Series Forecasting on ETTh2 (5% train)
0.265MSESSDA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SSDAforecast_horizon=96, training_data_ratio=5%2026.05 | 0.265 | 0.325 | |
| VisionTSforecast_horizon=96, training_data_ratio=5%2026.05 | 0.3 | 0.337 | |
| Time-VLMforecast_horizon=96, training_data_ratio=5%2026.05 | 0.302 | 0.365 | |
| SSDARatio=5%2026.05 | 0.311 | 0.358 | |
| Time-LLMforecast_horizon=96, training_data_ratio=5%2026.05 | 0.336 | 0.397 | |
| FiCoTSInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.11 | 0.337 | 0.382 | |
| TTM + CoRAModel Category=Pre-trained, Plugin=CoRA2026.03 | 0.34 | — | |
| TTMModel Category=Pre-trained, Plugin=None2026.03 | 0.343 | — | |
| VisionTSRatio=5%2026.05 | 0.348 | 0.376 | |
| SSDAforecast_horizon=336, training_data_ratio=5%2026.05 | 0.349 | 0.385 | |
| Timer + CoRAModel Category=Pre-trained, Plugin=CoRA2026.03 | 0.35 | — | |
| TimeVLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.11 | 0.354 | 0.402 | |
| Time-VLMRatio=5%2026.05 | 0.354 | 0.402 | |
| TimerModel Category=Pre-trained, Plugin=None2026.03 | 0.356 | — | |
| GPT4TS + CoRAModel Category=LLM-based, Plugin=CoRA2026.03 | 0.362 | — | |
| Moment + CoRAModel Category=Pre-trained, Plugin=CoRA2026.03 | 0.365 | — | |
| CALF + CoRAModel Category=LLM-based, Plugin=CoRA2026.03 | 0.367 | — | |
| MomentModel Category=Pre-trained, Plugin=None2026.03 | 0.37 | — | |
| CALFModel Category=LLM-based, Plugin=None2026.03 | 0.373 | — | |
| GPT4TSModel Category=LLM-based, Plugin=None2026.03 | 0.375 | — | |
| GPT4TSforecast_horizon=96, training_data_ratio=5%2026.05 | 0.376 | 0.421 | |
| VisionTSforecast_horizon=336, training_data_ratio=5%2026.05 | 0.379 | 0.402 | |
| S^2IP-LLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.11 | 0.38 | 0.413 | |
| Time-LLMRatio=5%2026.05 | 0.382 | 0.418 | |
| UniTime + CoRAModel Category=LLM-based, Plugin=CoRA2026.03 | 0.386 | — | |
| TIME-LLMParameters (M)=6.46, Memory (MiB)=3907, Eff.*MSE=0.39, Eff.*MAE=0.38, Few-shot (5% data)=true2026.03 | 0.39 | 0.42 | |
| FEDformerforecast_horizon=96, training_data_ratio=5%2026.05 | 0.39 | 0.424 | |
| TimeLLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.11 | 0.398 | 0.426 | |
| Time-VLMforecast_horizon=336, training_data_ratio=5%2026.05 | 0.398 | 0.434 | |
| UniTimeModel Category=LLM-based, Plugin=None2026.03 | 0.399 | — | |
| GPT4TSInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.11 | 0.4 | 0.433 | |
| GPT4TSParameters (M)=11.7, Memory (MiB)=371.0, Eff.*MSE=0.20, Eff.*MAE=0.20, Few-shot (5% data)=true2026.03 | 0.4 | 0.43 | |
| GPT4TSRatio=5%2026.05 | 0.4 | 0.433 | |
| PatchTSTforecast_horizon=96, training_data_ratio=5%2026.05 | 0.401 | 0.421 | |
| Time-LLMforecast_horizon=336, training_data_ratio=5%2026.05 | 0.405 | 0.432 | |
| GPT4TSforecast_horizon=336, training_data_ratio=5%2026.05 | 0.408 | 0.439 | |
| TimesNetforecast_horizon=96, training_data_ratio=5%2026.05 | 0.409 | 0.42 | |
| TimesNetInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Non-Transformer-based2025.11 | 0.439 | 0.448 | |
| TimesNetRatio=5%2026.05 | 0.439 | 0.448 | |
| EFDformerParameters (M)=16.8, Memory (MiB)=87.8, Eff.*MSE=0.12, Eff.*MAE=0.13, Few-shot (5% data)=true2026.03 | 0.44 | 0.45 | |
| AutoformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.11 | 0.441 | 0.457 | |
| DLinearforecast_horizon=96, training_data_ratio=5%2026.05 | 0.442 | 0.456 | |
| TimesNetParameters (M)=0.63, Memory (MiB)=2.9, Eff.*MSE=2.89, Eff.*MAE=3.39, Few-shot (5% data)=true2026.03 | 0.46 | 0.45 | |
| FEDformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.11 | 0.463 | 0.454 | |
| FEDformerRatio=5%2026.05 | 0.463 | 0.454 | |
| PatchTSTforecast_horizon=336, training_data_ratio=5%2026.05 | 0.464 | 0.469 | |
| TStationaryParameters (M)=2.02, Memory (MiB)=13.2, Eff.*MSE=0.84, Eff.*MAE=1.03, Few-shot (5% data)=true2026.03 | 0.47 | 0.46 | |
| AutoformerParameters (M)=10.53, Memory (MiB)=62.6, Eff.*MSE=0.18, Eff.*MAE=0.20, Few-shot (5% data)=true2026.03 | 0.47 | 0.49 | |
| FEDformerforecast_horizon=336, training_data_ratio=5%2026.05 | 0.477 | 0.483 | |
| iTransformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.11 | 0.488 | 0.475 | |
| TimesNetforecast_horizon=336, training_data_ratio=5%2026.05 | 0.499 | 0.479 | |
| One-for-AllParameters (M)=0.55, Memory (MiB)=2.2, Eff.*MSE=3.92, Eff.*MAE=4.17, Few-shot (5% data)=true2026.03 | 0.52 | 0.49 | |
| DLinearInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Non-Transformer-based2025.11 | 0.694 | 0.577 | |
| DLinearRatio=5%2026.05 | 0.694 | 0.577 | |
| ETSformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.11 | 0.809 | 0.681 | |
| ETSformerParameters (M)=5.28, Memory (MiB)=31.4, Eff.*MSE=0.24, Eff.*MAE=0.29, Few-shot (5% data)=true2026.03 | 0.81 | 0.68 | |
| PatchTSTInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.11 | 0.827 | 0.615 | |
| PatchTSTRatio=5%2026.05 | 0.827 | 0.615 | |
| DLinearforecast_horizon=336, training_data_ratio=5%2026.05 | 1.424 | 0.849 | |
| ReformerParameters (M)=5.80, Memory (MiB)=33.4, Eff.*MSE=0.09, Eff.*MAE=0.17, Few-shot (5% data)=true2026.03 | 3.53 | 1.47 | |
| Informerforecast_horizon=96, training_data_ratio=5%2026.05 | 3.837 | 1.508 | |
| InformerParameters (M)=11.33, Memory (MiB)=65.8, Eff.*MSE=0.04, Eff.*MAE=0.08, Few-shot (5% data)=true2026.03 | 3.92 | 1.65 | |
| InformerRatio=5%2026.05 | 3.922 | 1.653 | |
| Informerforecast_horizon=336, training_data_ratio=5%2026.05 | 3.956 | 1.52 |