Table 1.

Overview of classifier performances.

Classifier	Accuracy	Specificity	Sensitivity	p-Value
LR	0.58	0.59	0.57	0.009
LassoLR	0.58	0.57	0.56	0.009
SVM	0.63	0.64	0.62	0.007
PNN	0.58	0.57	0.59	0.009
LDA	0.57	0.58	0.56	0.009
GNB	0.61	0.63	0.62	0.008

LR, logistic regression; LassoLR, lasso-regularized logistic regression; SVM, linear support vector machine; PNN, probabilistic neural network; LDA, linear discriminant analysis; GNB, Gaussian naïve Bayes.

This table provides an overview of the performances of the classifiers discussed in Section “Classifiers.” Listed are the test accuracy, specificity, and sensitivity. Nested cross-validation was performed for all classifiers, with 10-folds for both the outer and the inner loops.