Table 2.
Method | Accuracy | Precision | Recall | F1-Measure | Training Time |
---|---|---|---|---|---|
AlexNet | 98.49 | 0.986 | 0.977 | 0.982 | 25,568 |
VGG16 | 97.32 | 0.971 | 0.960 | 0.972 | 73,756 |
GoogleNet | 98.71 | 0.984 | 0.972 | 0.978 | 54,866 |
Method | Accuracy | Precision | Recall | F1-Measure | Training Time |
---|---|---|---|---|---|
AlexNet | 98.49 | 0.986 | 0.977 | 0.982 | 25,568 |
VGG16 | 97.32 | 0.971 | 0.960 | 0.972 | 73,756 |
GoogleNet | 98.71 | 0.984 | 0.972 | 0.978 | 54,866 |