Forecasting on Health
1.339MSEPA-RNet
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| PA-RNetBackbone=iTransformer2025.08 | 1.339 | 0.748 | |
| TimeVLM2025.08 | 1.907 | 1.019 | |
| TokenCastHistorical Length (L)=36, Evaluation Strategy=Average over four horizons and three trials2025.08 | 2.525 | 0.081 | |
| GPT4TSHistorical Length (L)=36, Evaluation Strategy=Average over four horizons and three trials2025.08 | 2.565 | 0.083 | |
| AutoformerHistorical Length (L)=36, Evaluation Strategy=Average over four horizons and three trials2025.08 | 2.617 | 0.265 | |
| TimeDARTHistorical Length (L)=36, Evaluation Strategy=Average over four horizons and three trials2025.08 | 2.623 | 0.088 | |
| TimeCMA2025.08 | 2.694 | 1.205 | |
| SimMTMHistorical Length (L)=36, Evaluation Strategy=Average over four horizons and three trials2025.08 | 2.72 | 0.088 | |
| Time-LLMHistorical Length (L)=36, Evaluation Strategy=Average over four horizons and three trials2025.08 | 2.823 | 0.104 | |
| DLinearHistorical Length (L)=36, Evaluation Strategy=Average over four horizons and three trials2025.08 | 28.587 | 0.455 | |
| CrossformerHistorical Length (L)=36, Evaluation Strategy=Average over four horizons and three trials2025.08 | 1,644.745 | 2.504 |