Research Article
Oversampling Imbalanced Data Based on Convergent WGAN for Network Threat Detection
Table 5
The performances based on CWGAN.
| Data sets | The number of the new samples | Acc− | Acc+ | Accuracy | Precision | Recall | F1 | G-means |
| D1 | 1209 | 0.881 | 0.975 | 0.942 | 0.942 | 0.975 | 0.957 | 0.923 | D2 | 1409 | 0.802 | 0.984 | 0.925 | 0.913 | 0.984 | 0.947 | 0.887 | D3 | 1709 | 0.885 | 0.979 | 0.954 | 0.960 | 0.979 | 0.969 | 0.930 | D4 | 1909 | 0.772 | 0.979 | 0.932 | 0.937 | 0.979 | 0.957 | 0.866 | D5 | 2209 | 0.736 | 0.982 | 0.944 | 0.954 | 0.982 | 0.968 | 0.839 | D6 | 2409 | 0.680 | 0.937 | 0.912 | 0.963 | 0.937 | 0.950 | 0.798 | D7 | 2569 | 0.643 | 0.922 | 0.908 | 0.980 | 0.922 | 0.950 | 0.765 | D8 | 2655 | 0.573 | 0.994 | 0.986 | 0.992 | 0.994 | 0.993 | 0.719 |
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