Table 6.
Algorithm | Number of Features | Precision | Recall | FM | Average |
---|---|---|---|---|---|
Fazliddin et al. [57] | 325 | 0.918 | 0.921 | 0.914 | 0.911 |
Cabral et al. [58] | 325 | 0.975 | 0.961 | 0.963 | 0.963 |
Cheng Hao et al. [59] | 325 | 0.817 | 0.945 | 0.872 | 0.882 |
Yinping Wang [60] | 325 | 0.975 | 0.879 | 0.917 | 0.926 |
Aggarwal et al. [61] | 325 | 0.937 | 0.942 | 0.943 | 0.941 |
Ahmed et al. [62] | 325 | 0.773 | 0.787 | 0.805 | 0.78.9 |
Gulbakshee et al. [63] | 325 | 0.921 | 0.924 | 0.932 | 0.938 |
Patil et al. [64] | 325 | 0.876 | 0.858 | 0.879 | 0.872 |
Hongbing Zhang [65] | 325 | 0.904 | 0.893 | 0.907 | 0.908 |
Farkhod et al. [66] | 325 | 0.935 | 0.938 | 0.942 | 0.938 |
Proposed method | 325 | 0.983 | 0.987 | 0.995 | 0.984 |