Research Article
Identification of Pneumonia Disease Applying an Intelligent Computational Framework Based on Deep Learning and Machine Learning Techniques
Table 6
Performance of all classifiers using the VGG19 transfer learning techniques.
| Classification model | Accuracy | Sensitivity | Specificity | AUC | F1-score | MCC |
| KNN (kā=ā5) | 96.10 | 96.09 | 94.11 | 97.89 | 0.96 | 0.89 | SVM (linear) | 84.70 | 82.20 | 84.89 | 87.55 | 0.85 | 0.61 | SVM (rbf) | 50.32 | 84.30 | 48.80 | 69.60 | 0.69 | 0.36 | AB | 92.42 | 90.27 | 82.10 | 86.92 | 0.91 | 0.75 | NB | 88.40 | 86.33 | 93.09 | 94.60 | 0.89 | 0.72 | LR | 96.92 | 97.60 | 94.79 | 98.91 | 0.97 | 0.91 | ANN | 97.01 | 97.62 | 93.80 | 99.12 | 0.97 | 0.92 |
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