Traffic Flow Classification on Network Traffic Flows n=30 (test)
2.84Model Size (Disk)SVM
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| SVMNumber of Packets (n)=30, Execution Environment=scikit-learn, Feature Extraction Method=CICFlowMeter2026.04 | 2.84 | 2 | 665.66 | 12.76 | |
| LRNumber of Packets (n)=30, Execution Environment=scikit-learn, Feature Extraction Method=CICFlowMeter2026.04 | 4 | 0.84 | 664.5 | 12.36 | |
| eTransformerNumber of Packets (n)=30, Execution Environment=LiteRT, Feature Extraction Method=None (End-to-End)2026.04 | 4.9 | 35.79 | 35.79 | 7.96 | |
| kNNNumber of Packets (n)=30, Execution Environment=scikit-learn, Feature Extraction Method=CICFlowMeter2026.04 | 6.34 | 7.69 | 671.35 | 17.63 | |
| Naive BayesNumber of Packets (n)=30, Execution Environment=scikit-learn, Feature Extraction Method=CICFlowMeter2026.04 | 7 | 2.48 | 666.14 | 4.98 | |
| A-THENANumber of Packets (n)=30, Execution Environment=LiteRT, Feature Extraction Method=None (End-to-End)2026.04 | 40 | 1.42 | 1.42 | 3.25 | |
| XGBoostNumber of Packets (n)=30, Execution Environment=scikit-learn, Feature Extraction Method=CICFlowMeter2026.04 | 51.6 | 3.66 | 667.32 | 17.74 | |
| eAttNumber of Packets (n)=30, Execution Environment=LiteRT, Feature Extraction Method=None (End-to-End)2026.04 | 68.5 | 1.39 | 1.39 | 3.38 | |
| eGloNumber of Packets (n)=30, Execution Environment=LiteRT, Feature Extraction Method=None (End-to-End)2026.04 | 74.3 | 0.57 | 0.57 | 3.25 | |
| Random ForestNumber of Packets (n)=30, Execution Environment=scikit-learn, Feature Extraction Method=CICFlowMeter2026.04 | 163.1 | 25.2 | 688.86 | 20.3 | |
| MLPNumber of Packets (n)=30, Execution Environment=scikit-learn, Feature Extraction Method=CICFlowMeter2026.04 | 180 | 1.54 | 665.2 | 9.62 | |
| eRNNNumber of Packets (n)=30, Execution Environment=LiteRT, Feature Extraction Method=None (End-to-End)2026.04 | 211.5 | 20.12 | 20.12 | 9.13 |