Table 2.

Summary of area under the curve, sensitivity, specificity data for the two machine learning, and two statistical models used for the study.

	LGBM	Random Forests	Lasso	Logistic regression
AUC(95% CI)	0.96 (0.91, 1.00)	0.93 (0.88, 0.99)	0.93 (0.88, 0.99)	0.94 (0.88, 0.99)
Sensitivity(95% CI)	0.99 (0.92, 1.00)	0.87 (0.77, 0.93)	0.93 (0.84, 0.97)	0.90 (0.81, 0.95)
Specificity(95% CI)	0.92 (0.85, 0.95)	0.92 (0.86, 0.96)	0.92 (0.86, 0.96)	0.93 (0.87, 0.96)

AUC, area under the receiver operating characteristic curve; CI, confidence interval; and LGBM, light gradient boosted model