Table 3.

Area under the curve results.

Machine learning model	Receiver operating characteristics area under the curve
Logistic regression	.8325350
Naive Bayes	.8422145
SVMa-linear kernel	.8179543
SVM-Gaussian kernel	.8465576
SVM-polynomial kernel	.8337800
Random forest	.7844874
Voting classifier-soft	.8559346
Voting classifier-hard	.8357976

^aSVM: support vector machine.