Time Series Forecasting on ETTh2 (Normalized MSE)
0.2837NMSETime-R1
Evaluation results
| Method | Links | |
|---|---|---|
| Time-R1Model Category=Ours2025.06 | 0.2837 | |
| GPT4TSModel Category=LLM-based2025.06 | 0.2869 | |
| PatchTSTModel Category=Traditional2025.06 | 0.2875 | |
| TimeMixerModel Category=Traditional2025.06 | 0.2891 | |
| WPMixerModel Category=Traditional2025.06 | 0.2899 | |
| TimesFMModel Category=Traditional2025.06 | 0.2907 | |
| TimeXerModel Category=Traditional2025.06 | 0.2917 | |
| TimeLLMModel Category=LLM-based2025.06 | 0.2995 | |
| DLinearModel Category=Traditional2025.06 | 0.3001 | |
| MomentModel Category=Traditional2025.06 | 0.3013 | |
| iTransformerModel Category=Traditional2025.06 | 0.3113 | |
| CrossTimeNetModel Category=LLM-based2025.06 | 0.3227 | |
| AutoFormerModel Category=Traditional2025.06 | 0.3587 | |
| DeepSeek-R1Model Category=LLM-based2025.06 | 0.3639 |