Table 4 Multi-class performance of classifiers.
From: A CE-GAN based approach to address data imbalance in network intrusion detection systems
Class | Precision | Recall | F1 | Testnum | Class | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|---|
Normal | 0.9981 | 0.9985 | 0.9983 | 6755 | guesspasswd | 1.0000 | 1.0000 | 1.0000 |
Neptune | 0.9995 | 1.0000 | 0.9998 | 4057 | ftpwrite | 0.2500 | 1.0000 | 0.4000 |
warezclient | 0.9838 | 0.9681 | 0.9759 | 83 | multihop | 1.0000 | 0.5000 | 0.6667 |
ipsweep | 0.9822 | 0.9876 | 0.9849 | 386 | rootkit | 0.0000 | 0.0000 | 0.0000 |
portsweep | 0.9874 | 0.9982 | 0.9928 | 271 | bufferoverflow | 0.8000 | 1.0000 | 0.8889 |
teardrop | 1.0000 | 1.0000 | 1.0000 | 88 | imap | 1.0000 | 0.5000 | 0.6667 |
nmap | 0.9647 | 0.9678 | 0.9663 | 150 | warezmaster | 1.0000 | 0.6667 | 0.8000 |
satan | 0.9959 | 0.9762 | 0.9860 | 376 | phf | 1.0000 | 1.0000 | 1.0000 |
smurf | 1.0000 | 1.0000 | 1.0000 | 287 | land | 0.5000 | 0.3333 | 0.4000 |
Pod | 1.0000 | 1.0000 | 1.0000 | 77 | loadmodule | 0.0000 | 0.0000 | 0.0000 |
Back | 1.0000 | 1.0000 | 1.0000 | 89 | perl | 1.0000 | 1.0000 | 1.0000 |
Total accuracy: 0.9971 | ||||||||
