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. 2020 Sep 25;22(9):e20268. doi: 10.2196/20268

Table 8.

Electronic intensive care unit classification performance in traditional metrics.

Metric		LR^a (%)	LDA^b (%)	KNN^c (%)	DT^d (%)	NB^e (%)	NN^f (%)
Balanced
	Accuracy	77.9	77.4	67.2	76.7	66.6	84.7
	Precision	77.9	78.1	67.9	76.7	73.7	84.5
	Recall	77.9	76.3	65.3	76.8	51.6	84.9
	F1	77.8	77.2	66.6	76.7	60.7	84.7
	AUC^g	77.9	77.4	67.2	77.1	66.6	85.9
Imbalanced
	Accuracy	78.0	80.1	73.6	81.6	73.3	89.5
	Precision	73.6	75.1	64.1	72.1	62.0	84.7
	Recall	62.1	60.2	47.2	72.9	51.5	83.5
	F1	67.4	66.8	54.4	72.5	56.3	84.1
	AUC	75.5	75.1	67.0	79.3	67.9	87.8

^aLR: logistic regression.

^bLDA: linear discriminant analysis.

^cKNN: K-nearest neighbor.

^dDT: decision tree.

^eNB: naive Bayes.

^fNN: neural network.

^gAUC: area under the curve.