Time Series Forecasting on AQWan (MSE)
12,436.8256MSEPatchTST
Evaluation results
| Method | Links | |
|---|---|---|
| PatchTSTModel Type=Traditional, Prediction Horizon=96-step2025.06 | 12,436.8256 | |
| Time-R1Model Type=Ours, Prediction Horizon=96-step, Backbone=Qwen2.5-7B-Instruct2025.06 | 13,033.182 | |
| TimesFMModel Type=Traditional, Prediction Horizon=96-step2025.06 | 13,058.6669 | |
| WPMixerModel Type=Traditional, Prediction Horizon=96-step2025.06 | 13,205.8932 | |
| TimeLLMModel Type=LLM-based, Prediction Horizon=96-step2025.06 | 13,427.4982 | |
| MomentModel Type=Traditional, Prediction Horizon=96-step2025.06 | 13,431.7716 | |
| iTransformerModel Type=Traditional, Prediction Horizon=96-step2025.06 | 13,482.5746 | |
| GPT4TSModel Type=LLM-based, Prediction Horizon=96-step2025.06 | 13,546.1725 | |
| TimeMixerModel Type=Traditional, Prediction Horizon=96-step2025.06 | 14,128.4175 | |
| TimeXerModel Type=Traditional, Prediction Horizon=96-step2025.06 | 14,397.1884 | |
| CrossTimeNetModel Type=LLM-based, Prediction Horizon=96-step2025.06 | 15,120.0853 | |
| AutoFormerModel Type=Traditional, Prediction Horizon=96-step2025.06 | 19,628.2867 | |
| DLinearModel Type=Traditional, Prediction Horizon=96-step2025.06 | 20,997.7228 | |
| DeepSeek-R1Model Type=LLM-based, Prediction Horizon=96-step, Zero-shot=true2025.06 | 29,653.1218 |