Identification of Pneumonia Disease Applying an Intelligent Computational Framework Based on Deep Learning and Machine Learning Techniques

Table 5

Performance of all classifiers using the VGG16 transfer learning techniques.

Classification model	Accuracy	Sensitivity	Specificity	AUC	F1-score	MCC
KNN (k = 5)	95.41	96.00	93.66	98.32	0.95	0.88
SVM (linear)	81.72	81.23	82.99	87.33	0.83	0.59
SVM (rbf)	50.30	86.24	47.42	69.30	0.70	0.35
AB	90.12	93.57	80.01	86.82	0.90	0.74
NB	86.50	84.41	92.69	94.10	0.87	0.70
LR	96.82	97.80	94.03	99.51	0.97	0.92
ANN	96.56	97.52	93.28	99.22	0.97	0.91