Research Article
Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques
Table 8
Confusion matrix and classification report for various deep learning classifiers.
| Confusion matrix | Classification report | Models | Category | COVID-19 | CAP | Normal | Total | Category | Precision | Recall | F1Score | Specificity |
| CNN | COVID-19 | 100 | 5 | 6 | 111 | COVID-19 | 0.90 | 0.90 | 0.90 | 0.95 | CAP | 5 | 101 | 4 | 111 | CAP | 0.91 | 0.89 | 0.89 | 0.95 | Normal | 5 | 7 | 99 | 111 | Normal | 0.89 | 0.90 | 0.89 | 0.95 | Total | 111 | 113 | 109 | 333 | Average | 0.90 | 0.90 | 0.90 | 0.95 |
| AlexNet | COVID-19 | 105 | 3 | 3 | 111 | COVID-19 | 0.94 | 0.94 | 0.94 | 0.97 | CAP | 2 | 106 | 3 | 111 | CAP | 0.95 | 0.95 | 0.95 | 0.97 | Normal | 4 | 2 | 104 | 111 | Normal | 0.93 | 0.93 | 0.93 | 0.97 | Total | 111 | 111 | 111 | 333 | Average | 0.94 | 0.94 | 0.94 | 0.97 |
| VGG-16 | COVID-19 | 104 | 4 | 3 | 111 | COVID-19 | 0.93 | 0.93 | 0.93 | 0.96 | CAP | 3 | 104 | 4 | 111 | CAP | 0.93 | 0.93 | 0.93 | 0.95 | Normal | 4 | 3 | 104 | 111 | Normal | 0.93 | 0.93 | 0.93 | 0.96 | Total | 111 | 111 | 111 | 333 | Average | 0.93 | 0.93 | 0.93 | 0.96 |
| Resnet50 | COVID-19 | 102 | 6 | 3 | 111 | COVID-19 | 0.92 | 0.93 | 0.92 | 0.96 | CAP | 5 | 101 | 5 | 111 | CAP | 0.91 | 0.90 | 0.90 | 0.95 | Normal | 3 | 6 | 102 | 111 | Normal | 0.92 | 0.93 | 0.92 | 0.96 | Total | 110 | 113 | 110 | 333 | Average | 0.92 | 0.92 | 0.92 | 0.96 |
| Inception v3 | COVID-19 | 100 | 4 | 7 | 111 | COVID-19 | 0.90 | 0.89 | 0.89 | 0.94 | CAP | 6 | 100 | 5 | 111 | CAP | 0.90 | 0.91 | 0.90 | 0.95 | Normal | 6 | 6 | 99 | 111 | Normal | 0.89 | 0.89 | 0.89 | 0.95 | Total | 112 | 110 | 111 | 333 | Average | 0.90 | 0.90 | 0.90 | 0.95 |
|
|