Table 8.
DenseNet | EfficientNet | Inception | MobileNet | ResNet | VGG | Voting | |
True positive | 380 | 392 | 384 | 386 | 382 | 387 | 390 |
False negative | 20 | 8 | 16 | 14 | 18 | 13 | 10 |
False positive | 11 | 9 | 5 | 9 | 8 | 9 | 5 |
True negative | 389 | 391 | 395 | 391 | 392 | 391 | 395 |
Total | 800 | 800 | 800 | 800 | 800 | 800 | 800 |
Accuracy (%) | 96.13 | 97.88 | 97.38 | 97.13 | 96.75 | 97.25 | 98.13 |
Precision (%) | 97.19 | 97.76 | 98.71 | 97.72 | 97.95 | 97.73 | 98.73 |
Recall (%) | 95.00 | 98.00 | 96.00 | 96.50 | 95.50 | 96.75 | 97.50 |
F1-score (%) | 96.08 | 97.88 | 97.34 | 97.11 | 96.71 | 97.24 | 98.11 |