BMC Medical Informatics and Decision Making

Table 5 Metrics of machine learning models for three most common outcomes on dataset2

From: Maintaining proper health records improves machine learning predictions for novel 2019-nCoV

Outcome	Metric	AdaBoost	Bagging	Extra-trees	Decision tree	k-NN
Recovered	Precision	0.34	0.40	0.39	0.39	0.29
	Recall	0.12	0.18	0.12	0.12	0.31
	F1-Score	0.18	0.25	0.19	0.19	0.30
Isolated	Precision	0.62	0.69	0.69	0.69	0.66
	Recall	0.50	0.88	0.91	0.91	0.64
	F1-Score	0.55	0.77	0.78	0.78	0.65
Death	Precision	0.02	0.33	0.33	0.33	0.11
	Recall	0.40	0.10	0.20	0.20	0.10
	F1-Score	0.04	0.15	0.25	0.25	0.11
	Accuracy	0.38	0.65	0.65	0.65	0.53

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