Table 6.
Comparison of the seven state-of-the-art models based on classification metrics on the test dataset of both Dataset 1 and Dataset 2.
| Metrics | Models |
||||||
|---|---|---|---|---|---|---|---|
| VGG16 | InceptionV3 | ResNet50 | VGG19 | MobileNet | InceptionResNetV2 | DenseNet121 | |
| Dataset 1 | |||||||
| Accuracy | 1.000 | 0.98 | 0.945 | 1.000 | 1.000 | 0.995 | 1.000 |
| Precision | 1.000 | 1.000 | 0.978 | 1.000 | 1.000 | 1.000 | 1.000 |
| Recall | 1.000 | 0.960 | 0.910 | 1.000 | 1.000 | 0.990 | 1.000 |
| f1-score | 1.000 | 0.979 | 0.943 | 1.000 | 1.000 | 0.994 | 1.000 |
| Cohens Kappa | 1.000 | 0.960 | 0.890 | 1.000 | 1.000 | 0.990 | 1.000 |
| ROC accuracy | 1.000 | 0.980 | 0.945 | 1.000 | 1.000 | 0.995 | 1.000 |
| Dataset 2 | |||||||
| Accuracy | 0.987 | 0.994 | 0.952 | 0.991 | 0.992 | 0.994 | 0.990 |
| Precision | 0.980 | 1.000 | 0.954 | 0.990 | 1.000 | 1.000 | 0.996 |
| Recall | 0.996 | 0.990 | 0.952 | 0.994 | 0.986 | 0.990 | 0.986 |
| f1-score | 0.988 | 0.995 | 0.953 | 0.992 | 0.986 | 0.995 | 0.991 |
| Cohens Kappa | 0.988 | 0.989 | 0.905 | 0.983 | 0.985 | 0.989 | 0.981 |
| ROC accuracy | 0.987 | 0.995 | 0.952 | 0.991 | 0.985 | 0.995 | 0.991 |