Advances, Systems and Applications
From: Traffic prediction for diverse edge IoT data using graph network
 | D1 | D2 | D3 | D3 | D4 | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Missing | MSE | MAE | RMSE | R2 | MSE | MAE | RMSE | R2 | MSE | MAE | RMSE | R2 | MSE | MAE | RMSE | R2 | MSE | MAE | RMSE | R2 |
10\(\%\) | 27.6 | 3.67 | 5.25 | 0.691 | 20 | 3.24 | 4.47 | 0.802 | 552 | 17.8 | 23.5 | 0.9 | 552 | 17.8 | 23.5 | 0.9 | 21.5 | 3.02 | 4.64 | 0.527 |
20\(\%\) | 28.4 | 3.72 | 5.33 | 0.681 | 20.2 | 3.26 | 4.49 | 0.8 | 984 | 20.9 | 31.4 | 0.821 | 984 | 20.9 | 31.4 | 0.821 | 21.4 | 2.96 | 4.63 | 0.53 |
30\(\%\) | 30.1 | 3.74 | 5.49 | 0.662 | 20.1 | 3.26 | 4.49 | 0.8 | 757 | 20.2 | 27.5 | 0.862 | 757 | 20.2 | 27.5 | 0.862 | 22.1 | 2.96 | 4.70 | 0.514 |
40\(\%\) | 26.1 | 3.46 | 5.10 | 0.708 | 20.0 | 3.23 | 4.47 | 0.802 | 1866 | 30.6 | 43.2 | 0.661 | 1866 | 30.6 | 43.2 | 0.661 | 21.7 | 2.95 | 4.65 | 0.524 |
50\(\%\) | 26.2 | 3.50 | 5.12 | 0.706 | 20.9 | 3.36 | 4.57 | 0.793 | 3218 | 40.7 | 56.7 | 0.416 | 3218 | 40.7 | 56.7 | 0.416 | 22.6 | 3.01 | 4.76 | 0.502 |
60\(\%\) | 26.6 | 3.42 | 5.15 | 0.703 | 20.9 | 3.36 | 4.57 | 0.793 | 5147 | 48.3 | 71.7 | 0.065 | 5147 | 48.3 | 71.7 | 0.065 | 28.6 | 3.32 | 5.35 | 0.371 |
70\(\%\) | 33.2 | 3.76 | 5.77 | 0.628 | 21.4 | 3.42 | 4.63 | 0.787 | 6237 | 51.6 | 78.7 | 0.025 | 6237 | 51.6 | 78.7 | 0.025 | 33.3 | 3.46 | 5.77 | 0.269 |