TABLE 8.
Comparison with other state-of-the-art methods.
Method | Accuracy | Average-precision | Average-recall | Average-F1 | Source | Category |
---|---|---|---|---|---|---|
CNN+RNN Liang et al. (2018) | 90.79% | — | — | — | Public | Four |
ML Kihm et al. (2018) | 86.70% | 86.19% | 86.25% | 86.22% | Private | Three |
Q-fuzzy Iliyasu and Fatichah (2017) | — | 85% | 86% | 85% | Public | Seven |
DCRN+R2U Alom et al. (2018) | 91.14% | — | — | 81.80% | Public | Four |
BCNet (Ours) | 96.78% | 97.07% | 96.77% | 96.78% | Public | Three |