Table 5 Comparative analysis of pre-trained models without frozen convolutional layers.
Model | Precision | Recall | F1-measure | MCC |
---|---|---|---|---|
AlexNet | 91.1 | 91.0 | 90.8 | 90.5 |
DenseNet 201 | 96.5 | 96.2 | 96.3 | 96.1 |
SqueezeNet1.1 | 90.2 | 90.2 | 90.1 | 89.6 |
VGG-16 Net | 88.2 | 88.0 | 87.9 | 87.3 |
VGG-19 Net | 89.6 | 89.4 | 89.5 | 89.0 |
ResNet-50 | 94.4 | 94.1 | 94.2 | 93.8 |
ResNet-101 | 95.3 | 95.0 | 95.1 | 94.7 |
MobileNetV1 | 96.8 | 96.5 | 96.6 | 96.4 |
MobileNetV2 | 97.4 | 97.1 | 97.2 | 97.0 |
GoogleNet | 92.21 | 94.67 | 94.67 | 94 |