Research Article
A Novel Hybrid Network Traffic Prediction Approach Based on Support Vector Machines
Table 2
The result of the three evaluation metrics of the four forecasting methods (outflow NTD).
| Date | RMSE | MAE | MAPE | BSVM | PSVM | ESVM | EPSVM | BSVM | PSVM | ESVM | EPSVM | BSVM | PSVM | ESVM | EPSVM |
| Monday | 17.027 | 18.464 | 10.860 | 9.711 | 14.082 | 15.334 | 9.203 | 8.444 | 0.0786 | 0.0857 | 0.0498 | 0.0464 | Tuesday | 18.715 | 14.850 | 12.372 | 10.616 | 14.817 | 11.462 | 10.332 | 8.160 | 0.0848 | 0.0651 | 0.0604 | 0.0461 | Wednesday | 19.425 | 14.320 | 12.256 | 11.123 | 16.482 | 11.722 | 10.195 | 9.224 | 0.0973 | 0.0688 | 0.0608 | 0.0556 | Thursday | 22.645 | 15.693 | 15.471 | 11.918 | 18.160 | 13.933 | 12.275 | 9.330 | 0.1080 | 0.0831 | 0.0735 | 0.0560 | Friday | 21.152 | 20.504 | 17.132 | 11.974 | 16.312 | 15.764 | 14.322 | 9.333 | 0.0828 | 0.0783 | 0.0727 | 0.0480 | Saturday | 22.702 | 14.896 | 15.846 | 12.781 | 17.823 | 12.170 | 13.453 | 10.307 | 0.0907 | 0.0630 | 0.0693 | 0.0531 | Sunday | 16.793 | 19.053 | 20.077 | 16.235 | 14.011 | 16.379 | 17.356 | 13.229 | 0.0629 | 0.0749 | 0.0785 | 0.0604 | Whole week | 19.780 | 16.826 | 14.859 | 12.051 | 15.955 | 13.823 | 12.448 | 9.718 | 0.0864 | 0.0741 | 0.0664 | 0.0522 |
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