An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease

Table 2

Performance of classifiers before feature selection.

Datasets	Classifiers	Accuracy	Precision	Recall	-score	AUC
Israeli COVID-19 dataset	Decision tree	0.83	0.95	0.23	0.37	0.78
	Naïve Bayes	0.83	0.95	0.22	0.36	0.71
	KNN	0.83	0.95	0.22	0.36	0.74
	MLP	0.83	0.95	0.23	0.37	0.78
	SVM	0.83	0.95	0.23	0.37	0.78
Symptoms and COVID-19 presence dataset	Decision tree	0.99	0.99	0.99	0.99	1.0
	Naïve Bayes	0.78	1.0	0.73	0.84	0.99
	KNN	0.99	1.0	0.99	0.99	1.0
	MLP	0.98	0.98	0.99	0.99	1.0
	SVM	0.99	0.99	0.99	0.99	0.99