Time Series Forecasting on ETTm2 (Normalized MSE)
0.1727Normalized MSETime-R1
Evaluation results
| Method | Links | |
|---|---|---|
| Time-R1Model Category=Ours2025.06 | 0.1727 | |
| PatchTSTModel Category=Traditional2025.06 | 0.1753 | |
| TimeMixerModel Category=Traditional2025.06 | 0.1769 | |
| WPMixerModel Category=Traditional2025.06 | 0.1775 | |
| TimesFMModel Category=Traditional2025.06 | 0.1783 | |
| DLinearModel Category=Traditional2025.06 | 0.1807 | |
| TimeXerModel Category=Traditional2025.06 | 0.1817 | |
| MomentModel Category=Traditional2025.06 | 0.1819 | |
| GPT4TSModel Category=LLM-based2025.06 | 0.1879 | |
| iTransformerModel Category=Traditional2025.06 | 0.1917 | |
| TimeLLMModel Category=LLM-based2025.06 | 0.1923 | |
| CrossTimeNetModel Category=LLM-based2025.06 | 0.1989 | |
| AutoFormerModel Category=Traditional2025.06 | 0.2397 | |
| DeepSeek-R1Model Category=LLM-based2025.06 | 0.2469 |