Time-series Forecasting on UberTLC
0.161CRPSDeepAR
Evaluation results
| Method | Links | |
|---|---|---|
| DeepARarchitecture=RNN-based2023.07 | 0.161 | |
| TSDiff-Condvariant=conditional2023.07 | 0.172 | |
| TSDiff-Qguidance=quantile guidance2023.07 | 0.172 | |
| TSDiff-MSguidance=mean square guidance2023.07 | 0.183 | |
| Transformerarchitecture=self-attention-based2023.07 | 0.192 | |
| TFTarchitecture=Temporal Fusion Transformer2023.07 | 0.193 | |
| CSDImodel=conditional diffusion2023.07 | 0.206 | |
| ARIMA2023.07 | 0.284 | |
| DeepStatemodel=state space model2023.07 | 0.288 | |
| Seasonal Naive2023.07 | 0.299 | |
| Linear2023.07 | 0.36 | |
| ETS2023.07 | 0.422 | |
| MQ-CNNarchitecture=CNN-based2023.07 | 0.436 |