Univariate Forecasting on Italian Dataset Technology-wise (4G)
0.0134CRPSEMForecaster
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| EMForecasterimputation=true, external conditions=false2025.12 | 0.0134 | 0.1661 | 0.2102 | 19.3257 | 37.34 | |
| EMFusionimputation=true, external conditions=false2025.12 | 0.0169 | 0.1109 | 0.1495 | 11.8418 | 55.69 | |
| TimeGradwindow_size=29, imputation=true, external conditions=false2025.12 | 0.019 | 0.3375 | 0.9451 | 56.1075 | — | |
| IQLSTMimputation=true, external conditions=false2025.12 | 0.021 | 0.1488 | 0.1827 | 17.1465 | 66.22 | |
| NFimputation=true, external conditions=false2025.12 | 0.0217 | 0.1637 | 0.1983 | 18.1657 | 69.23 | |
| WGANimputation=true, external conditions=false2025.12 | 0.0224 | 0.1556 | 0.1903 | 17.8671 | 51.53 | |
| VAEimputation=true, external conditions=false2025.12 | 0.0237 | 0.1698 | 0.2051 | 19.2985 | 58.84 | |
| DDPMimputation=true, external conditions=false2025.12 | 0.0267 | 0.189 | 0.2345 | 19.6537 | 74.21 | |
| LSTM-Dropoutimputation=true, external conditions=false2025.12 | 0.0294 | 0.1994 | 0.2273 | 24.2642 | 39.79 | |
| TimeGradwindow_size=8, version=v2, imputation=true, external conditions=false2025.12 | 0.0584 | 0.1888 | 0.6344 | 21.9084 | — |