Research Article
Oversampling Imbalanced Data Based on Convergent WGAN for Network Threat Detection
Table 4
The performances based on WGAN.
| Data sets | The number of the new samples | Acc− | Acc+ | Accuracy | Precision | Recall | F1 | G-means |
| D1 | 1209 | 0.825 | 0.978 | 0.924 | 0.926 | 0.978 | 0.948 | 0.878 | D2 | 1409 | 0.808 | 0.983 | 0.926 | 0.915 | 0.983 | 0.948 | 0.891 | D3 | 1709 | 0.859 | 0.980 | 0.947 | 0.951 | 0.980 | 0.965 | 0.916 | D4 | 1909 | 0.766 | 0.989 | 0.938 | 0.936 | 0.989 | 0.962 | 0.867 | D5 | 2209 | 0.726 | 0.990 | 0.949 | 0.953 | 0.990 | 0.971 | 0.837 | D6 | 2409 | 0.340 | 0.883 | 0.829 | 0.923 | 0.883 | 0.902 | 0.545 | D7 | 2569 | 0.293 | 0.951 | 0.919 | 0.963 | 0.951 | 0.956 | 0.520 | D8 | 2655 | 0.573 | 0.992 | 0.984 | 0.992 | 0.992 | 0.992 | 0.729 |
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