Table 3.
Comparison of model performance for an average of 5 experimental fills on the traffic flow domain dataset.
| Model | METR-LA | PEMS-BAY | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Blocking missing | Point missing | Blocking missing | Point missing | |||||||||
| mae | mse | mape (%) | mae | mse | Mape (%) | mae | mse | Mape (%) | mae | mse | Mape (%) | |
| MEAN | 7.48 | 139.54 | 12.96 | 7.56 | 142.22 | 13.10 | 5.46 | 87.56 | 8.75 | 5.42 | 86.59 | 8.67 |
| KNN | 7.79 | 124.61 | 13.49 | 7.88 | 129.29 | 13.65 | 4.30 | 49.90 | 6.90 | 4.30 | 49.80 | 6.88 |
| MF | 5.46 | 109.61 | 9.46 | 5.56 | 113.46 | 9.62 | 3.28 | 50.14 | 5.26 | 3.29 | 51.39 | 5.27 |
| MICE | 4.22 | 51.07 | 7.31 | 4.42 | 55.07 | 7.65 | 2.94 | 28.28 | 4.71 | 3.09 | 31.43 | 4.95 |
| VAR | 3.11 | 28.00 | 5.38 | 2.69 | 21.10 | 4.66 | 2.09 | 16.06 | 3.35 | 1.30 | 6.52 | 2.07 |
| E2GAN | 3.00 | 23.49 | 5.21 | 2.98 | 22.80 | 7.99 | 1.97 | 12.20 | 3.16 | 1.77 | 9.73 | 2.83 |
| rGAIN | 2.90 | 21.67 | 5.02 | 2.83 | 20.03 | 4.91 | 2.18 | 13.96 | 3.50 | 1.88 | 10.37 | 3.01 |
| BRITS | 2.34 | 17.00 | 4.05 | 2.34 | 16.46 | 4.05 | 1.70 | 10.50 | 2.72 | 1.47 | 7.94 | 2.36 |
| SAITS | 2.30 | 16.88 | 4.00 | 2.26 | 16.32 | 3.94 | 1.56 | 14.02 | 2.50 | 1.40 | 7.88 | 2.30 |
| CSDI | 2.23 | 15.92 | 3.64 | 2.20 | 14.32 | 3.42 | 1.50 | 13.77 | 2.50 | 1.22 | 7.75 | 1.82 |
| MPGRU | 2.57 | 25.15 | 4.44 | 2.44 | 22.17 | 4.22 | 1.59 | 14.19 | 2.56 | 1.11 | 7.59 | 1.77 |
| GRIN | 2.03 | 13.26 | 3.52 | 1.91 | 10.41 | 3.30 | 1.14 | 6.60 | 1.83 | 0.67 | 1.55 | 1.08 |
| ADGCN | 2.02 | 13.22 | 3.51 | 1.89 | 10.31 | 3.27 | 1.07 | 5.23 | 1.73 | 0.66 | 1.52 | 1.07 |
The best results are in bold.