Table 5.
Results of experiment MultiInput classification without Fuzzy.
Model1 | Model2 | AUC | Acc | Prec. | Recall |
---|---|---|---|---|---|
VGG16 | ResNet152V2 | 0.99 | 0.94 | 0.97 | 0.92 |
VGG16 | InceptionV3 | 0.98 | 0.94 | 0.97 | 0.92 |
VGG16 | EffNetB3 | 0.97 | 0.93 | 0.92 | 0.94 |
ResNet152V2 | VGG16 | 0.99 | 0.94 | 0.97 | 0.92 |
ResNet152V2 | InceptionV3 | 1.00 | 0.97 | 0.95 | 1.00 |
ResNet152V2 | EffNetB3 | 0.99 | 0.88 | 0.80 | 1.00 |
InceptionV3 | VGG16 | 0.98 | 0.94 | 0.97 | 0.92 |
InceptionV3 | ResNet152V2 | 1.00 | 0.97 | 0.95 | 1.00 |
InceptionV3 | EffNetB3 | 0.99 | 0.96 | 0.97 | 0.94 |
EffNetB3 | VGG16 | 0.97 | 0.93 | 0.92 | 0.94 |
EffNetB3 | ResNet152V2 | 0.99 | 0.88 | 0.80 | 1.00 |
EffNetB3 | InceptionV3 | 0.99 | 0.96 | 0.97 | 0.94 |