Research Article
Machine Learning with Quantum Seagull Optimization Model for COVID-19 Chest X-Ray Image Classification
Table 2
Comparative analysis results of the QSGOA-DL model with different measures.
| | Methods | Precision | Sensitivity | Specificity | Accuracy | F-score | MCC |
| | DBHL | 98.00 | 99.00 | 98.00 | 98.53 | 98.00 | 97.00 | | DHL-2 | 97.00 | 99.00 | 97.00 | 98.29 | 98.00 | 97.00 | | DHL-1 | 98.00 | 98.00 | 98.00 | 98.14 | 98.00 | 96.00 | | ResNet-2 | 97.00 | 97.00 | 97.00 | 97.21 | 97.00 | 94.00 | | TL-ResNet-2 | 98.00 | 98.00 | 98.00 | 98.14 | 98.00 | 96.00 | | ResNet-1 | 97.00 | 97.00 | 97.00 | 97.21 | 97.00 | 94.00 | | TL-RENet-1 | 99.00 | 97.00 | 99.00 | 98.06 | 98.00 | 96.00 | | QSGOA-DL | 99.80 | 99.80 | 99.80 | 99.83 | 99.80 | 99.70 |
|
|
