Intrusion Detection on UNSW-NB15
99.27F1 ScoreMDE-IDS (LGB)
Evaluation results
| Method | Links | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MDE-IDS (LGB)backbone=LightGBM combined2026.06 | 99.27 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Ensemble of Deep LearningYear=2025, Reference=Alhayan et al. [19]2026.03 | 98.86 | — | — | — | — | — | — | 99.77 | 98.6 | 98.6 | — | — | — | — | — | |
| Transformer2026.06 | 98.12 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Random ForestYear=2025, Reference=Ahmed et al. [18]2026.03 | 96 | — | — | — | — | — | — | 99.5 | 98 | 97 | — | — | — | — | — | |
| Q-AGNN2026.03 | 94.85 | — | — | — | — | — | — | 97.87 | 98.81 | 91.67 | 0 | 16.67 | 100 | — | — | |
| GCN2026.03 | 94.85 | — | — | — | — | — | — | 97.87 | 98.81 | 91.67 | 0 | 16.67 | 100 | — | — | |
| GAT2026.03 | 94.85 | — | — | — | — | — | — | 97.87 | 98.81 | 91.67 | 0 | 16.67 | 100 | — | — | |
| GraphSAGE2026.03 | 94.85 | — | — | — | — | — | — | 97.87 | 98.81 | 91.61 | 0 | 16.67 | 100 | — | — | |
| ClusterGCN2026.03 | 94.85 | — | — | — | — | — | — | 97.87 | 98.81 | 91.61 | 0 | 16.67 | 100 | — | — | |
| SuperGAT2026.03 | 94.85 | — | — | — | — | — | — | 97.87 | 98.81 | 91.61 | 0 | 16.67 | 100 | — | — | |
| KAN-LSTM2026.03 | 94.01 | — | — | — | — | — | — | 95.89 | 94.5 | 93.2 | — | — | — | — | — | |
| TransformerConv2026.03 | 90.45 | — | — | — | — | — | — | 95.74 | 90.45 | 90.45 | 2.44 | 16.67 | 97.56 | — | — | |
| RPM-Net2026.04 | 79.5 | 86.75 | — | — | — | — | — | — | 80.22 | 80.53 | — | — | — | 85.11 | 85.55 | |
| OCN2026.04 | 76.05 | 78.15 | — | — | — | — | — | — | 78.26 | 77.73 | — | — | — | 75.15 | 78.14 | |
| ODIN2026.04 | 73.02 | 81.72 | — | — | — | — | — | — | 85.33 | 65.98 | — | — | — | 77.48 | 82.77 | |
| KANsNumber of layers=52026.03 | 72.56 | — | — | — | — | — | — | 94.45 | 72.42 | 72.76 | — | — | — | — | — | |
| ConvKAN2026.03 | 70.41 | — | — | — | — | — | — | 94.31 | 70.95 | 71.91 | — | — | — | — | — | |
| KANsNumber of layers=22026.03 | 69.56 | — | — | — | — | — | — | 93.91 | 69.55 | 69.58 | — | — | — | — | — | |
| LSTM2026.03 | 69.55 | — | — | — | — | — | — | 93.97 | 68.83 | 70.28 | — | — | — | — | — | |
| CNN2026.03 | 65.43 | — | — | — | — | — | — | 93.1 | 64.7 | 66.1 | — | — | — | — | — | |
| MLP2026.03 | 62.82 | — | — | — | — | — | — | 92.57 | 62.67 | 62.88 | — | — | — | — | — | |
| EVM2026.04 | 62.59 | 83 | — | — | — | — | — | — | 84.85 | 51.55 | — | — | — | 83.7 | 83.22 | |
| Baseline2026.04 | 54.73 | 78.67 | — | — | — | — | — | — | 66.26 | 59.12 | — | — | — | 79.28 | 78.67 | |
| GINConv2026.03 | 46.59 | — | — | — | — | — | — | 87.23 | 43.62 | 50 | 0 | 100 | 100 | — | — | |
| HQCModel Family=Quantum-Classical, Number of runs=52025.12 | — | — | — | — | 0.0566 | 1.1881 | — | — | — | — | — | — | — | — | — | |
| Wrap-NN2026.06 | — | — | — | — | — | — | — | 97.5 | — | — | — | — | — | — | — |