Quality of Experience Prediction on Encrypted traffic dataset (test)
15.9BRISQUEAdaBoost
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| AdaBoost2026.01 | 15.9 | 37.11 | |
| Linear Regression2026.01 | 9.2 | 24.27 | |
| SVM2026.01 | 8.06 | 22.61 | |
| CatBoost2026.01 | 7.35 | 19.64 | |
| XGBoost2026.01 | 7.01 | 18.5 | |
| Random Forest2026.01 | 5.54 | 15.8 | |
| qAttCNNbackbone=ResNet-182026.01 | 2.99 | 7.39 | |
| QoENet1Dvariant=Basic2026.01 | 2.94 | 10.93 | |
| QoENet1Dvariant=Optimized2026.01 | 2.61 | 10.36 | |
| qAttCNNbackbone=ResNet-342026.01 | 2.14 | 9.1 |