Table 7.
Comparative of experiment results with multiInput and single input classification with fuzzy (mean values by network).
Multi input | AUC | Acc | Precision | Recall |
VGG16 | 0.97 | 0.90 | 0.90 | 0.96 |
ResNet152V2 | 0.99 | 0.94 | 0.95 | 0.94 |
InceptionV3 | 0.99 | 0.96 | 0.96 | 0.97 |
EfficientNetB3 | 0.95 | 0.88 | 0.88 | 0.93 |
Single Input | AUC | Acc | Precision | Recall |
VGG16 | 0.90 | 0.60 | 1.00 | 0.19 |
ResNet152V2 | 0.95 | 0.78 | 0.69 | 1.00 |
InceptionV3 | 0.91 | 0.88 | 0.83 | 0.94 |
EfficientNetB3 | 0.99 | 0.74 | 1.00 | 0.47 |