Table 2.

Evaluation of the performance of the four algorithms.

Algorithm	Data set	Area under the curve	Optimal cutoff	Specificity	Sensitivity	Accuracy	Specificity/sensitivity
Logistic regression	Validation	0.812	0.116	0.785	0.682	0.768	1.151
Logistic regression	Test	0.814	0.116	0.770	0.701	0.759	1.098
Random forest	Validation	0.773	0.040	0.654	0.784	0.675	0.834
Random forest	Test	0.780	0.040	0.645	0.793	0.669	0.813
Naïve Bayes	Validation	0.804	0.214	0.796	0.688	0.778	1.157
Naïve Bayes	Test	0.814	0.214	0.776	0.672	0.760	1.155
XGBoost	Validation	0.815	0.302	0.753	0.744	0.752	1.012
XGBoost	Test	0.814	0.302	0.738	0.724	0.736	1.019