Table 5.

Model performance indices of the DT algorithm for models I and II

Model I
(a) Training					(b) Testing
Actual	Predicted Count				Actual	Predicted Count
COVID-19 Positive	No			Yes	COVID-19 Positive	No	Yes
No	5038			869	No	1231	252
Yes	1642			2987	Yes	399	752
Sensitivity = 85.28%	AUC = 80.24%				Sensitivity = 83.00%	AUC = 78.71%
Specificity = 64.52%	Precision = 75.41%				Specificity = 65.33%	Precision = 75.52%
Accuracy = 76.16%					Accuracy = 75.28%
Model II
(c) Training					(d) Testing
Actual		Predicted Count			Actual	Predicted Count
COVID-19 Positive		No	Yes		COVID-19 Positive	No		Yes
No		4628	1279		No	1128		355
Yes		1799	2830		Yes	425		726
Sensitivity = 78.34%		AUC = 75.23%			Sensitivity = 76.06%	AUC = 74.88%
Specificity = 61.13%		Precision = 72.00%			Specificity = 63.07%	Precision = 72.63%
Accuracy = 70.78%					Accuracy = 72.58%