Table 2.

Accuracy results.

Machine learning method	Train-test accuracy	Cross-validation accuracy
Logistic regression	.8735236	.82110961
Naive Bayes	.8711414	.82210961
SVMa-linear kernel	.8349277	.76406263
SVM-Gaussian kernel	.8632561	.81908724
SVM-polynomial kernel	.8682245	.81857010
Random forest	.8212457	.77888143
Voting classifier-soft	.8798578	.82045190
Voting classifier-hard	.85919181	.80702013

^aSVM: support vector machine.