Research Article
A Novel Hybrid Network Traffic Prediction Approach Based on Support Vector Machines
Table 1
The result of evaluation metrics of the four forecasting methods (inflow NTD).
| Date | RMSE | MAE | MAPE | BSVM | PSVM | ESVM | EPSVM | BSVM | PSVM | ESVM | EPSVM | BSVM | PSVM | ESVM | EPSVM |
| Monday | 20.082 | 17.033 | 11.994 | 9.262 | 16.822 | 14.226 | 9.298 | 7.369 | 0.0893 | 0.0747 | 0.0495 | 0.0379 | Tuesday | 18.086 | 14.846 | 12.202 | 13.892 | 15.834 | 11.772 | 10.274 | 11.649 | 0.0828 | 0.0625 | 0.0543 | 0.0608 | Wednesday | 20.668 | 20.784 | 20.555 | 12.335 | 16.825 | 17.086 | 16.185 | 10.067 | 0.0797 | 0.0808 | 0.0766 | 0.0482 | Thursday | 23.445 | 16.836 | 16.226 | 11.427 | 19.741 | 12.806 | 12.776 | 9.878 | 0.0948 | 0.0615 | 0.0609 | 0.0481 | Friday | 16.729 | 21.573 | 15.683 | 13.456 | 13.962 | 17.455 | 11.897 | 10.549 | 0.0654 | 0.0825 | 0.0571 | 0.0487 | Saturday | 21.784 | 22.186 | 18.898 | 13.915 | 18.422 | 19.146 | 14.877 | 10.977 | 0.0882 | 0.0904 | 0.0704 | 0.0524 | Sunday | 22.104 | 14.935 | 19.864 | 15.537 | 18.288 | 12.056 | 17.359 | 12.459 | 0.0776 | 0.0517 | 0.0741 | 0.0530 | Whole week | 20.414 | 18.313 | 16.489 | 12.832 | 17.128 | 14.935 | 13.238 | 10.421 | 0.0825 | 0.0720 | 0.0633 | 0.0498 |
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