Research Article
Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques
Table 7
Confusion matrix and classification report for different machine learning classifiers.
| Confusion matrix | Classification report | Models | Category | COVID-19 | CAP | Normal | Total | Category | Precision | Recall | F1Score | Specificity |
| SVM | COVID-19 | 104 | 7 | 0 | 111 | COVID-19 | 0.93 | 0.92 | 0.92 | 0.96 | CAP | 7 | 103 | 2 | 111 | CAP | 0.92 | 0.88 | 0.89 | 0.96 | Normal | 1 | 6 | 104 | 111 | Normal | 0.93 | 0.98 | 0.95 | 0.96 | Total | 112 | 116 | 106 | 333 | Average | 0.92 | 0.93 | 0.92 | 0.96 |
| Random Forest | COVID-19 | 106 | 5 | 0 | 111 | COVID-19 | 0.95 | 0.97 | 0.95 | 0.97 | CAP | 3 | 106 | 2 | 111 | CAP | 0.95 | 0.95 | 0.95 | 0.97 | Normal | 0 | 6 | 105 | 111 | Normal | 0.95 | 0.98 | 0.95 | 0.97 | Total | 109 | 111 | 107 | 333 | Average | 0.95 | 0.96 | 0.95 | 0.97 |
| Decision Tree | COVID-19 | 104 | 5 | 2 | 111 | COVID-19 | 0.93 | 0.93 | 0.93 | 0.96 | CAP | 3 | 103 | 5 | 111 | CAP | 0.92 | 0.91 | 0.91 | 0.96 | Normal | 4 | 4 | 103 | 111 | Normal | 0.92 | 0.93 | 0.92 | 0.96 | Total | 111 | 112 | 110 | 333 | Average | 0.92 | 0.92 | 0.92 | 0.96 |
| Naive Bayes | COVID-19 | 82 | 20 | 9 | 111 | COVID-19 | 0.73 | 0.86 | 0.79 | 0.87 | CAP | 8 | 83 | 20 | 111 | CAP | 0.74 | 0.62 | 0.67 | 0.86 | Normal | 5 | 29 | 77 | 111 | Normal | 0.69 | 0.72 | 0.70 | 0.87 | Total | 95 | 132 | 106 | 333 | Average | 0.72 | 0.73 | 0.72 | 0.87 |
| KNN | COVID-19 | 104 | 7 | 0 | 111 | COVID-19 | 0.93 | 0.91 | 0.91 | 0.97 | CAP | 6 | 103 | 2 | 111 | CAP | 0.92 | 0.88 | 0.89 | 0.97 | Normal | 4 | 6 | 101 | 111 | Normal | 0.90 | 0.98 | 0.93 | 0.96 | Total | 114 | 117 | 103 | 333 | Average | 0.92 | 0.92 | 0.92 | 0.97 |
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