Table 3.
Deep Learning Models | Evaluation Parameters | |||
---|---|---|---|---|
Accuracy | Precision | Sensitivity | F1 Score | |
EfficientNetB1 | 92% | 91.75% | 94.50% | 92.75% |
NasNetMobile | 89.30% | 89.25% | 91.75% | 91% |
MobileNetV2 | 90.03% | 92.25% | 92% | 91.75% |
Deep Learning Models | Evaluation Parameters | |||
---|---|---|---|---|
Accuracy | Precision | Sensitivity | F1 Score | |
EfficientNetB1 | 92% | 91.75% | 94.50% | 92.75% |
NasNetMobile | 89.30% | 89.25% | 91.75% | 91% |
MobileNetV2 | 90.03% | 92.25% | 92% | 91.75% |