Time-series forecasting on Illness
0.18MSEMOMENT
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MOMENTStrategy=Top-50%2025.11 | 0.18 | 0.152 | |
| MOMENTStrategy=Full-data2025.11 | 0.182 | 0.157 | |
| MOMENTStrategy=Bottom-50%2025.11 | 0.19 | 0.167 | |
| MOMENTStrategy=Pre-trained2025.11 | 0.221 | 0.191 | |
| FEDformerData Budget=5002023.11 | 0.707 | — | |
| AutoformerData Budget=5002023.11 | 0.737 | — | |
| Time-MoEStrategy=Top-50%2025.11 | 0.851 | 0.728 | |
| Time-MoEStrategy=Bottom-50%2025.11 | 0.863 | 0.741 | |
| Time-MoEStrategy=Full-data2025.11 | 0.905 | 0.772 | |
| Time-MoEStrategy=Pre-trained2025.11 | 0.924 | 0.707 | |
| ShapleyDownstream Model=PAttn2025.11 | 0.965 | 0.806 | |
| InfluenceDownstream Model=PAttn2025.11 | 1.025 | 0.841 | |
| LTSV (Top strategy)Downstream Model=PAttn2025.11 | 1.036 | 0.858 | |
| ShapleyDownstream Model=PatchTST2025.11 | 1.057 | 0.844 | |
| LastData Budget=502023.11 | 1.077 | — | |
| LastData Budget=5002023.11 | 1.077 | — | |
| ForecastPFNData Budget=502023.11 | 1.091 | — | |
| MeanData Budget=502023.11 | 1.091 | — | |
| ForecastPFNData Budget=5002023.11 | 1.091 | — | |
| MeanData Budget=5002023.11 | 1.091 | — | |
| InfluenceDownstream Model=PatchTST2025.11 | 1.099 | 0.861 | |
| LTSV (Top strategy)Downstream Model=PatchTST2025.11 | 1.103 | 0.873 | |
| FEDformerData Budget=502023.11 | 1.24 | — | |
| Meta-N-BEATSData Budget=502023.11 | 1.301 | — | |
| Meta-N-BEATSData Budget=5002023.11 | 1.301 | — | |
| RandomDownstream Model=PAttn2025.11 | 1.35 | 1.057 | |
| AutoformerData Budget=502023.11 | 1.353 | — | |
| Time-LLMStrategy=Top-50%2025.11 | 1.403 | 0.931 | |
| SeasonalNaiveData Budget=502023.11 | 1.41 | — | |
| SeasonalNaiveData Budget=5002023.11 | 1.41 | — | |
| Time-LLMStrategy=Bottom-50%2025.11 | 1.43 | 0.949 | |
| Time-LLMStrategy=Full-data2025.11 | 1.439 | 0.932 | |
| Time-LLMStrategy=Pre-trained2025.11 | 1.492 | 0.985 | |
| RandomDownstream Model=PatchTST2025.11 | 1.53 | 1.05 | |
| ShapleyDownstream Model=DLinear2025.11 | 1.603 | 1.102 | |
| LTSV (Top strategy)Downstream Model=DLinear2025.11 | 1.668 | 1.13 | |
| InfluenceDownstream Model=DLinear2025.11 | 1.718 | 1.142 | |
| LTSV (Bottom strategy)Downstream Model=PatchTST2025.11 | 1.958 | 1.214 | |
| LTSV (Bottom strategy)Downstream Model=PAttn2025.11 | 1.974 | 1.201 | |
| RandomDownstream Model=DLinear2025.11 | 1.982 | 1.259 | |
| DiPE-LinearPrediction Length=602024.11 | 2.053 | 0.957 | |
| DiPE-LinearPrediction Length=362024.11 | 2.162 | 0.94 | |
| NlinearPrediction Length=482024.11 | 2.177 | 0.97 | |
| RLinearPrediction Length=602024.11 | 2.183 | 0.952 | |
| DiPE-LinearPrediction Length=482024.11 | 2.184 | 0.956 | |
| RLinearPrediction Length=362024.11 | 2.213 | 0.943 | |
| NlinearPrediction Length=602024.11 | 2.216 | 0.985 | |
| NlinearPrediction Length=362024.11 | 2.221 | 0.964 | |
| FITSPrediction Length=602024.11 | 2.221 | 0.996 | |
| RLinearPrediction Length=242024.11 | 2.258 | 0.93 | |
| DiPE-LinearPrediction Length=242024.11 | 2.26 | 0.951 | |
| FITSPrediction Length=482024.11 | 2.266 | 0.992 | |
| NlinearPrediction Length=242024.11 | 2.288 | 0.962 | |
| FITSPrediction Length=242024.11 | 2.289 | 0.975 | |
| FITSPrediction Length=362024.11 | 2.292 | 0.986 | |
| RLinearPrediction Length=482024.11 | 2.309 | 0.979 | |
| DLinearPrediction Length=242024.11 | 2.467 | 1.079 | |
| DLinearPrediction Length=362024.11 | 2.51 | 1.089 | |
| DLinearPrediction Length=482024.11 | 2.51 | 1.092 | |
| DLinearPrediction Length=602024.11 | 2.599 | 1.121 | |
| LTSV (Bottom strategy)Downstream Model=DLinear2025.11 | 2.895 | 1.496 | |
| ProphetData Budget=5002023.11 | 3.462 | — | |
| TransformerData Budget=5002023.11 | 3.482 | — | |
| TransformerData Budget=502023.11 | 4.32 | — | |
| InformerData Budget=5002023.11 | 4.394 | — | |
| ArimaData Budget=5002023.11 | 4.848 | — | |
| ArimaData Budget=502023.11 | 5.045 | — | |
| InformerData Budget=502023.11 | 8.584 | — | |
| ProphetData Budget=502023.11 | 11.824 | — |