TABLE 2.

Sensitivity and Specificity of the Machine-learning Algorithms Evaluated With Their Optimized parameters on the Train and Test Sets

	Train Set		Test Set
	Sensitivity (%)	Specificity (%)	Sensitivity (%)	Specificity (%)
Random forests	80.3	68.1	72.5	68.3
Bagging	80.8	70.2	72.5	70.4
Gradient boosting machine	78.9	68.6	73.2	68.9
SVM—radial kernel	77.0	68.1	73.2	68.7
SVM—polynomial kernel	77.0	67.7	73.9	68.3
Penalized logistic regression	74.1	70.3	71.0	70.6

SVM, support vector machine.

Bold values indicate the values for the selected algorithm.