Anomaly Detection on HTTP Dataset
90.04PrecisionAutoencoder
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| AutoencoderMemory usage (MB)=1.98, Training time (s)=2018.162025.10 | 90.04 | 91.66 | 90.84 | |
| iTransformerMemory usage (MB)=0.11, Training time (s)=4228.442025.10 | 89.89 | 91.57 | 90.72 | |
| Autoencoder+CGNetMemory usage (MB)=0.66, Training time (s)=1991.582025.10 | 89.88 | 89.65 | 89.76 | |
| LightAEMemory usage (MB)=1.37, Training time (s)=560.322025.10 | 88.59 | 91.57 | 90.05 | |
| Autoencoder+PruningMemory usage (MB)=1.20, Training time (s)=1937.822025.10 | 87.76 | 91.73 | 89.7 | |
| Autoencoder+KDMemory usage (MB)=0.55, Training time (s)=2226.672025.10 | 87.74 | 91.63 | 89.63 | |
| LSTMMemory usage (MB)=0.05, Training time (s)=659.602025.10 | 87.68 | 91.65 | 89.62 | |
| OmniAnomalyMemory usage (MB)=0.35, Training time (s)=2661.342025.10 | 87.68 | 91.65 | 89.62 | |
| ModernTCNMemory usage (MB)=0.45, Training time (s)=17864.402025.10 | 87.67 | 91.57 | 89.58 | |
| LSTM-NDTMemory usage (MB)=0.26, Training time (s)=2245.702025.10 | 86.82 | 91.65 | 89.17 | |
| One-Class SVMMemory usage (MB)=0.02, Training time (s)=2.832025.10 | 79.82 | 91.69 | 85.34 | |
| IsolationForestMemory usage (MB)=1.51, Training time (s)=1.122025.10 | 63.9 | 91.03 | 75.09 |