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

Table 9

Multiclass classification results of Model 4a and Model 4b for different evaluation metrics.

	Classifier	Accuracy	Precision	Recall	F1 score
Model 3a	Naïve Bayes	80.5	80.7	79.8	79.3
	SVM	96.0	95.8	95.8	95.8
	Random forest	92.4	92.3	92.2	92.1
	XGBoost	94.3	94.1	94.0	94.0
Model 3b	Naïve Bayes	96.0	95.8	95.8	95.8
	SVM	96.8	96.7	96.6	96.7
	Random forest	96.7	96.6	96.6	96.6
	XGBoost	96.7	96.5	96.6	96.6