Table 2.

Performances of 6 Machine Learning Models Using All Variables in the Validation Cohort

Machine Learning Model	Sensitivity	Specificity	Accuracy	AUC
Random forest	65.8 ± 1.2	73.0 ± 0.4	72.0 ± 0.3	0.77 ± 0.00
Light gradient boosting machine	67.1 ± 1.1	72.7 ± 0.5	72.0 ± 0.3	0.77 ± 0.01
Elastic net	68.6 ± 1.5	71.6 ± 0.6	71.4 ± 0.6	0.77 ± 0.01
Linear support vector machine	68.0 ± 1.0	72.3 ± 0.5	71.7 ± 0.4	0.76 ± 0.00
Neural network	59.6 ± 1.4	77.2 ± 0.4	75.2 ± 0.4	0.77 ± 0.01
Naive Bayes	57.2 ± 1.4	80.1 ± 0.4	77.4 ± 0.5	0.78 ± 0.00

AUC = area under the curve.