TABLE 2. Global Performance Measures Computed by Each Imputation Algorithm + Risk Prediction Model.

	model	AUC (var)	Sensitivity (var)	Specificity	F1-score	Accuracy
missForest	RF	0.81 (0.00007)	0.72 (0.00016)	0.76 (0.00006)	0.62 (0.00009)	0.74 (0.00006)
miceRF	AT	0.67 (0.00013)	0.51 (0.00039)	0.83 (0.00020)	0.53 (0.00028)	0.67 (0.00013)
	GLM	0.80 (0.00001)	0.56 (0.00002)	0.86 (0.00001)	0.62 (0.00002)	0.71 (0.00001)
	RF	0.79 (0.00011)	0.70 (0.00034)	0.74 (0.00012)	0.60 (0.0002)	0.72 (0.00014)
	AT	0.65 (0.00027)	0.48 (0.00079)	0.82 (0.00022)	0.50 (0.00062)	0.65 (0.00027)
	GLM	0.78 (0.0005)	0.53 (0.00025)	0.85 (0.00004)	0.59 (0.00014)	0.69 (0.00009)