Time Series Forecasting on AQWan
0.7589Normalized MSETime-R1
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Time-R1Model Category=Ours2025.06 | 0.7589 | — | |
| TimeXerModel Category=Traditional2025.06 | 0.7617 | — | |
| PatchTSTModel Category=Traditional2025.06 | 0.7629 | — | |
| TimeMixerModel Category=Traditional2025.06 | 0.7647 | — | |
| WPMixerModel Category=Traditional2025.06 | 0.7653 | — | |
| TimesFMModel Category=Traditional2025.06 | 0.7661 | — | |
| DLinearModel Category=Traditional2025.06 | 0.7719 | — | |
| MomentModel Category=Traditional2025.06 | 0.7759 | — | |
| iTransformerModel Category=Traditional2025.06 | 0.7797 | — | |
| GPT4TSModel Category=LLM-based2025.06 | 0.7831 | — | |
| CrossTimeNetModel Category=LLM-based2025.06 | 0.7907 | — | |
| TimeLLMModel Category=LLM-based2025.06 | 0.7999 | — | |
| AutoFormerModel Category=Traditional2025.06 | 0.8127 | — | |
| DeepSeek-R1Model Category=LLM-based2025.06 | 0.8189 | — | |
| AutoFormerMethod Category=Traditional2025.06 | — | 48.4358 | |
| CrossTimeNetMethod Category=LLM-based2025.06 | — | 43.6267 | |
| DeepSeek-R1Method Category=LLM-based, Zero-shot=true, Reasoning Template=true2025.06 | — | 64.9627 | |
| DLinearMethod Category=Traditional2025.06 | — | 51.7896 | |
| GPT4TSMethod Category=LLM-based2025.06 | — | 40.2815 | |
| iTransformerMethod Category=Traditional2025.06 | — | 40.307 | |
| MomentMethod Category=Traditional2025.06 | — | 40.5432 | |
| PatchTSTMethod Category=Traditional2025.06 | — | 39.5089 | |
| Time-R1Method Category=Ours2025.06 | — | 39.1846 | |
| TimeLLMMethod Category=LLM-based2025.06 | — | 40.2746 | |
| TimeMixerMethod Category=Traditional2025.06 | — | 40.6789 | |
| TimesFMMethod Category=Traditional2025.06 | — | 39.8765 | |
| TimeXerMethod Category=Traditional2025.06 | — | 41.828 | |
| WPMixerMethod Category=Traditional2025.06 | — | 41.2347 |