COVID-19 Diagnosis Using an Enhanced Inception-ResNetV2 Deep Learning Model in CXR Images

Table 5

Average classification results for the classification task of the original dataset.

Model	Accuracy (%)	F1-score (%)	Precision (%)	Recall (%)	Training time (s)	Testing time (s)
Inception-ResNetV2	98.80	98.86	98.61	99.11	1138	4.10
Xception	98.30	98.45	98.15	98.78	1051	2.13
VGG16	97.60	97.30	98.29	96.40	912	1.85
ResNet50V2	97.60	97.65	97.08	98.28	890	2.28
InceptionV3	97.90	98.20	97.90	98.51	894	2.16
MobileNetV2	98.10	97.67	98.67	96.77	881	1.74
DenseNet121	98.30	98.45	98.15	98.78	940	1.91
ResNet101V2	97.40	97.19	97.50	96.90	1006	2.55