Research Article
Identification of Pneumonia Disease Applying an Intelligent Computational Framework Based on Deep Learning and Machine Learning Techniques
Table 3
Performance of all classifiers using the AlexNet transfer learning architecture.
| Classification model | Accuracy | Sensitivity | Specificity | AUC | F1-score | MCC |
| KNN (kā=ā5) | 94.10 | 95.40 | 90.08 | 96.76 | 0.94 | 0.73 | SVM (rbf) | 51.13 | 54.52 | 50.98 | 53.45 | 0.54 | 0.51 | SVM (linear) | 88.65 | 92.98 | 72.53 | 88.94 | 0.85 | 0.70 | AB | 89.72 | 92.63 | 80.74 | 86.62 | 0.89 | 0.73 | NB | 87.89 | 87.56 | 88.62 | 92.68 | 0.88 | 0.72 | LR | 95.94 | 96.98 | 91.40 | 98.42 | 0.95 | 0.89 | ANN | 96.44 | 96.82 | 92.62 | 98.84 | 0.96 | 0.91 |
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