Table 6.
Results of experiment MultiInput classification with Fuzzy.
| Model1 | Model2 | AUC | Acc | Prec. | Recall |
|---|---|---|---|---|---|
| VGG16 | ResNet152V2 | 1.00 | 0.94 | 1.00 | 0.89 |
| VGG16 | InceptionV3 | 1.00 | 0.97 | 0.97 | 0.97 |
| VGG16 | EfficientNetB3 | 0.88 | 0.72 | 0.64 | 1.00 |
| ResNet152V2 | VGG16 | 1.00 | 0.94 | 1.00 | 0.89 |
| ResNet152V2 | InceptionV3 | 0.99 | 0.96 | 0.92 | 1.00 |
| ResNet152V2 | EfficientNetB3 | 0.98 | 0.92 | 0.94 | 0.89 |
| InceptionV3 | VGG16 | 1.00 | 0.97 | 0.97 | 0.97 |
| InceptionV3 | ResNet152V2 | 0.99 | 0.96 | 0.92 | 1.00 |
| InceptionV3 | EfficientNetB3 | 0.96 | 0.94 | 0.97 | 0.92 |
| EfficientNetB3 | VGG16 | 0.88 | 0.72 | 0.64 | 1.00 |
| EfficientNetB3 | ResNet152V2 | 0.98 | 0.92 | 0.94 | 0.89 |
| EfficientNetB3 | InceptionV3 | 0.96 | 0.94 | 0.97 | 0.92 |