Table 5.
Dataset 1 (256 × 256) | |||||
---|---|---|---|---|---|
Methods | Precision (%) | Recall (%) | F1-Score (%) | Accuracy (%) | |
Classification | GNB | 91 | 84 | 85 | 84.98 |
SVM | 92 | 91 | 90 | 91.02 | |
DT | 96 | 96 | 96 | 96 | |
LR | 92 | 91 | 90 | 91.02 | |
RF | 96 | 96 | 96 | 96 | |
Ensemble | 96 | 96 | 96 | 96 | |
Detection | GNB | 94 | 94 | 94 | 94.01 |
SVM | 94 | 94 | 94 | 94.01 | |
DT | 98 | 98 | 97 | 98 | |
LR | 94 | 95 | 94 | 94.08 | |
RF | 99 | 99 | 99 | 99 | |
Ensemble | 94 | 95 | 94 | 94.11 | |
Dataset 2 (256 × 256) | |||||
Classification | GNB | 93 | 90 | 91 | 91.14 |
SVM | 97 | 98 | 97 | 97.21 | |
DT | 96 | 96 | 96 | 96.1 | |
LR | 98 | 98 | 97 | 97.99 | |
RF | 97 | 97 | 97 | 97 | |
Ensemble | 98 | 98 | 99 | 98.11 | |
Detection | GNB | 93 | 90 | 91 | 90.84 |
SVM | 93 | 91 | 91 | 91.46 | |
DT | 99 | 99 | 99 | 99 | |
LR | 94 | 91 | 92 | 91.36 | |
RF | 99 | 99 | 99 | 99 | |
Ensemble | 99 | 99 | 99 | 99 |