Research Article
Identification of Pneumonia Disease Applying an Intelligent Computational Framework Based on Deep Learning and Machine Learning Techniques
Table 7
Performance of all classifiers using the Inception-V3 transfer learning techniques.
| Classification model | Accuracy | Sensitivity | Specificity | AUC | F1-score | MCC |
| KNN (kā=ā5) | 94.20 | 94.24 | 94.03 | 97.80 | 0.94 | 0.85 | SVM (linear) | 85.02 | 92.03 | 86.41 | 87.33 | 0.85 | 0.78 | SVM (rbf) | 50.30 | 84.23 | 48.39 | 50.20 | 0.74 | 0.33 | AB | 87.40 | 91.33 | 78.91 | 83.62 | 0.87 | 0.67 | NB | 91.50 | 90.89 | 93.13 | 95.90 | 0.92 | 0.80 | LR | 97.08 | 97.90 | 94.33 | 99.52 | 0.97 | 0.92 | ANN | 97.19 | 97.88 | 94.92 | 99.53 | 0.97 | 0.92 |
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