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. 2021 Aug 11;23(8):e23508. doi: 10.2196/23508

Table 4.

Comparison of performance values of the prediction models.

Model	AUROC^a	Sensitivity	Specificity	NPV^b	PPV^c	F1 score	ICI^d
Random forest	0.787	0.949	0.388	0.967	0.285	0.438	0.048
Linear regression	0.762	0.949	0.303	0.958	0.259	0.407	0.025
Artificial neural network	0.763	0.949	0.230	0.946	0.240	0.383	0.077
Support vector machine	0.740	0.897	0.283	0.915	0.243	0.383	0.050

^aAUROC: area under the receiver operating characteristic curve.

^bNPV: negative predictive value.

^cPPV: positive predictive value.

^dICI: integrated calibration index.