Table 1.

Performance of classifiers on training and test sets

	5-fold cross-validation		Independent test set
Classifier	Features	Accuracy	Accuracy
LDA	19	79.5%	78.7%
SVM-linear	25	80.1%	78.9%
SVM-RBF	7	81.5%	80.9%

LDA, SVM (linear kernel), and SVM (radial basis kernel) classifiers were first assessed by 5-fold cross validation accuracy for a range of model sizes. The minimum number of features that gave a cross-validation accuracy within one SEM of the maximum accuracy for all model sizes was determined, and is shown in the first column of the table, along with the corresponding cross-validation accuracy. Once the optimal parsimonious model size (number of features) was determined from cross-validation, the classifiers were applied to the independent test set; the test-set accuracy is shown in the right-most column of the table.