Hybrid Deep-Learning and Machine-Learning Models for Predicting COVID-19

Table 7

Multiclass classification results of Model 3a and Model 3b for different evaluation metrics.

	Classifier	Accuracy	Precision	Recall	F1 score
Model 3a	Naïve Bayes	89.8	89.7	89.3	89.5
	SVM	97.9	97.9	97.8	97.8
	Random forest	88.8	88.5	88.5	88.4
	XGBoost	94.6	94.5	94.4	94.4
Model 3b	Naïve Bayes	97.3	97.3	97.2	97.2
	SVM	97.6	97.5	97.5	97.5
	Random forest	97.8	97.8	97.7	97.7
	XGBoost	97.6	97.5	97.5	97.5