Forecasting on KDDCup
0.2468CRPSEnTransformer
Evaluation Results
| Method | Links | |
|---|---|---|
| EnTransformer2026.03 | 0.2468 | |
| TimeGrad2026.03 | 0.2902 | |
| LSTM-MAF2026.03 | 0.2919 | |
| Transformer-MAF2026.03 | 0.2951 | |
| MG-Input2026.03 | 0.2977 | |
| GP-Scaling2026.03 | 0.2983 | |
| TSDiff-Qguidance=quantile guidance2023.07 | 0.311 | |
| GP-Copula2026.03 | 0.3157 | |
| DeepStatemodel=state space model2023.07 | 0.318 | |
| CSDImodel=conditional diffusion2023.07 | 0.318 | |
| TSDiff-MSguidance=mean square guidance2023.07 | 0.325 | |
| Vec-LSTM2026.03 | 0.356 | |
| Transformerarchitecture=self-attention-based2023.07 | 0.411 | |
| DeepARarchitecture=RNN-based2023.07 | 0.414 | |
| Linear2023.07 | 0.513 | |
| MQ-CNNarchitecture=CNN-based2023.07 | 0.516 | |
| TACTiS2026.03 | 0.5406 | |
| ARIMA2023.07 | 0.547 | |
| Seasonal Naive2023.07 | 0.561 | |
| TFTarchitecture=Temporal Fusion Transformer2023.07 | 0.581 | |
| ETS2023.07 | 0.753 | |
| TSDiff-Condvariant=conditional2023.07 | 0.754 |