Research Article
Novel Crow Swarm Optimization Algorithm and Selection Approach for Optimal Deep Learning COVID-19 Diagnostic Model
Table 7
The first dataset diagnostic performance outcomes of various pretrained models.
| No | Classifier | AUC | CAR | F1-score | Precision | Recall | FPR | PPV | NPV | MSE |
| 1 | ResNet50 | 90.78 | 91.46 | 90.49 | 89.73 | 88.94 | 90.92 | 90.22 | 90.17 | 0.039 | 2 | DarkNet | 80.92 | 85.13 | 85.11 | 83.29 | 80.14 | 82.19 | 83.71 | 81.95 | 0.069 | 3 | GoogleNet | 86.99 | 90.35 | 89.42 | 90.21 | 90.11 | 88.92 | 90.47 | 90.16 | 0.044 | 4 | MobileNetV2 | 85.47 | 88.36 | 87.69 | 83.33 | 86.91 | 82.14 | 85.25 | 86.94 | 0.038 | 5 | Xception | 75.14 | 77.13 | 75.02 | 76.96 | 74.82 | 77.37 | 74.38 | 72.96 | 0.094 | 6 | VGG19 | 80.32 | 84.38 | 84.29 | 77.43 | 93.56 | 82.14 | 83.64 | 81.79 | 0.081 | 7 | VGG16 | 81.36 | 80.14 | 80.25 | 78.97 | 79.46 | 78.19 | 80.03 | 76.91 | 0.078 | 8 | InceptionV3 | 63.40 | 65.98 | 64.81 | 66.47 | 64.91 | 62.99 | 65.11 | 63.73 | 0.055 | 9 | ResNet34 | 90.54 | 90.71 | 80.48 | 79.28 | 80.10 | 89.79 | 90.21 | 89.94 | 0.042 | 10 | CNNs | 87.47 | 88.15 | 83.36 | 87.55 | 87.89 | 86.36 | 87.99 | 86.69 | 0.057 | 11 | DNN | 83.39 | 85.36 | 81.30 | 83.57 | 85.66 | 83.96 | 84.14 | 82.64 | 0.063 | 12 | SAE | 80.39 | 82.14 | 79.92 | 84.87 | 81.93 | 80.97 | 83.94 | 83.12 | 0.059 | 13 | InceptionResNetV2 | 85.67 | 87.95 | 86.11 | 87.64 | 84.24 | 86.14 | 88.19 | 85.37 | 0.098 | 14 | LSTM | 88.25 | 90.54 | 88.36 | 89.25 | 88.97 | 86.91 | 90.11 | 87.67 | 0.096 | 15 | NASNet-Large | 79.36 | 80.11 | 78.98 | 77.91 | 78.16 | 75.87 | 79.47 | 82.96 | 0.079 |
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