Table 3.
Models | Res | Result of experiments | |||
---|---|---|---|---|---|
Average F1 | Average recall | Avarage precision | Convergence score | ||
Model 2 | 200 | 0.9581 | 0.9586 | 0.9599 | 0.90 |
Model 4 | 200 | 0.9877 | 0.9877 | 0.9878 | 0.95 |
Model 6 | 200 | 0.9838 | 0.9837 | 0.9840 | 0.93 |
Model 8 | 200 | 0.9783 | 0.9783 | 0.9788 | 0.93 |
AlexNet12 (trained from scratch) | 256 | 0.9782 | 0.9782 | 0.9782 | – |
GoogleNet12 (trained from scratch) | 256 | 0.9837 | 0.9837 | 0.9837 | – |
AlexNet12 (transfer learning) | 256 | 0.9928 | 0.9928 | 0.9927 | – |
GoogleNet12 (transfer learning) | 256 | 0.9935 | 0.9935 | 0.9935 | – |
Significant values are in bold.