772 B
772 B
| 1 | 模型(Model) | 平均平方误差(MSE) | 均方根误差(RMSE) | 平均绝对误差(MAE) |
|---|---|---|---|---|
| 2 | NBEATS | 154165.48 | 392.639 | 297.061 |
| 3 | NHITS | 155955.23 | 394.912 | 298.077 |
| 4 | NLinear | 164834.77 | 405.998 | 302.343 |
| 5 | PatchTST | 297246.62 | 545.203 | 402.05 |
| 6 | TiDE | 515884.38 | 718.251 | 548.61 |
| 7 | MLPMultivariate | 646344.5 | 803.956 | 630.858 |
| 8 | StemGNN | 659987.6 | 812.396 | 636.391 |
| 9 | BiTCN | 660022.4 | 812.418 | 636.421 |
| 10 | MLP | 666076.5 | 816.135 | 641.565 |
| 11 | TSMixerx | 692425.25 | 832.121 | 656.647 |
| 12 | TFT | 759378.8 | 871.423 | 689.949 |
| 13 | iTransformer | 765466.0 | 874.909 | 688.628 |
| 14 | Informer | 770897.2 | 878.008 | 694.087 |
| 15 | DLinear | 823347.06 | 907.385 | 711.249 |
| 16 | TCN | 828552.4 | 910.249 | 699.913 |
| 17 | RNN | 828750.94 | 910.358 | 700.011 |
| 18 | DilatedRNN | 828752.94 | 910.359 | 700.013 |
| 19 | LSTM | 828757.6 | 910.361 | 700.016 |
| 20 | GRU | 828777.8 | 910.372 | 700.028 |
| 21 | DeepNPTS | 933536.3 | 966.197 | 730.86 |
| 22 | TSMixer | 933695.4 | 966.279 | 725.053 |