Time Series Forecasting on ETTm1 (Normalized MSE)
0.2969NMSETime-R1
Evaluation results
| Method | Links | |
|---|---|---|
| Time-R1Model Category=Ours2025.06 | 0.2969 | |
| TimeXerModel Category=Traditional2025.06 | 0.2995 | |
| TimeMixerModel Category=Traditional2025.06 | 0.3007 | |
| WPMixerModel Category=Traditional2025.06 | 0.3013 | |
| TimesFMModel Category=Traditional2025.06 | 0.3021 | |
| PatchTSTModel Category=Traditional2025.06 | 0.3043 | |
| MomentModel Category=Traditional2025.06 | 0.3059 | |
| GPT4TSModel Category=LLM-based2025.06 | 0.3063 | |
| DLinearModel Category=Traditional2025.06 | 0.3115 | |
| CrossTimeNetModel Category=LLM-based2025.06 | 0.3337 | |
| iTransformerModel Category=Traditional2025.06 | 0.3447 | |
| TimeLLMModel Category=LLM-based2025.06 | 0.3987 | |
| AutoFormerModel Category=Traditional2025.06 | 0.4049 | |
| DeepSeek-R1Model Category=LLM-based2025.06 | 0.4129 |