TABLE 7.
Evaluation metric | ||||||
---|---|---|---|---|---|---|
Models | ACC | SEN | SPEC | Preci | Mr | Fpr |
AlexNet | 0.9667 | 0.9667 | 0.9667 | 0.9667 | 0.0333 | 0.0333 |
DenseNet201 | 0.9833 | 0.9667 | 1.0000 | 1.0000 | 0.0167 | 0 |
GoogleNet | 0.9500 | 0.9000 | 1.0000 | 1.0000 | 0.0500 | 0 |
InceptionresNetv2 | 0.9667 | 0.9667 | 0.9667 | 0.9667 | 0.0333 | 0.0333 |
Inceptionv3 | 0.9667 | 0.9667 | 0.9667 | 0.9667 | 0.0333 | 0.0333 |
ResNet18 | 0.9500 | 0.9000 | 1.0000 | 1.0000 | 0.0500 | 0 |
ResNet50 | 0.9833 | 0.9667 | 1.0000 | 1.0000 | 0.0167 | 0 |
ResNet101 | 0.9853 | 0.9667 | 1.0000 | 1.0000 | 0.0167 | 0 |
SqueezeNet | 0.9667 | 0.9667 | 0.9667 | 0.9667 | 0.0333 | 0.0333 |
VGG16 | 0.9833 | 0.9667 | 1.0000 | 1.0000 | 0.0167 | 0 |
VGG19 | 0.9833 | 0.9667 | 1.0000 | 1.0000 | 0.0167 | 0 |