Table 4 The overall performance of the algorithms.
Methods | MVO-CNN | GA-CNN | SBO-CNN | WOA-CNN | CNN | LCBO-CNN | EOSA-CNN |
---|---|---|---|---|---|---|---|
Balanced accuracy | 0.923 | 0.943 | 0.943 | 0.957 | 0.925 | 0.941 | 0.959 |
Accuracy | 0.977 | 0.983 | 0.983 | 0.980 | 0.980 | 0.980 | 0.983 |
Precision | 0.889 | 0.926 | 0.926 | 0.867 | 0.923 | 0.893 | 0.897 |
Recall | 0.857 | 0.893 | 0.893 | 0.929 | 0.857 | 0.893 | 0.929 |
f1-scores | 0.873 | 0.909 | 0.909 | 0.897 | 0.889 | 0.893 | 0.912 |
Cohens kappa | 0.860 | 0.900 | 0.900 | 0.886 | 0.878 | 0.882 | 0.903 |
Sensitivity | 0.989 | 0.993 | 0.993 | 0.985 | 0.993 | 0.989 | 0.989 |
Specificity | 0.857 | 0.893 | 0.893 | 0.929 | 0.857 | 0.893 | 0.929 |