Service Classification on ISCXVPN 2016 (Mixed)
76.79AccuracyTraffic-MoE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Traffic-MoEparadigm=Pre-training and Fine-tuning2026.01 | 76.79 | 83.06 | 83.77 | 83.32 | |
| NetGPTparadigm=Pre-training and Fine-tuning2026.01 | 69.73 | 80.03 | 80.72 | 80.34 | |
| TrafficFormerparadigm=Pre-training and Fine-tuning2026.01 | 63.73 | 76.89 | 72.85 | 74.22 | |
| AppScannerparadigm=Machine Learning (ML)2026.01 | 62.49 | 74.14 | 73.55 | 72.48 | |
| ET-BERTparadigm=Pre-training and Fine-tuning2026.01 | 61.06 | 75.03 | 75.49 | 75.21 | |
| FlowPrintparadigm=Machine Learning (ML)2026.01 | 56.59 | 60.33 | 64.31 | 59.52 | |
| FS-Netparadigm=Deep Learning (DL)2026.01 | 53.57 | 46.17 | 46.81 | 46.31 |