Table 1.

Performance of traditional single classifiers and SVA-SVM on an independent validation cohort

Classification Technique	Sensitivity	Specificity	Accuracy
Traditional Single Classifiers
LDA	0.50 ± 0.13	0.67 ± 0.13	0.58 ± 0.08
QDA	0.51 ± 0.10	0.56 ± 0.11	0.54 ± 0.07
Naïve Bayes	0.32 ± 0.06	0.70 ± 0.09	0.51 ± 0.05
CART	0.59 ± 0.18	0.53 ± 0.17	0.56 ± 0.10
SVM	0.60 ± 0.15	0.56 ± 0.15	0.58 ± 0.09
Selective Voting Ensemble Classification Approach
SVA-SVM with δ = 0.5	0.70 ± 0.07	0.45 ± 0.03	0.58 ± 0.04
SVA-SVM with δ = 0.8	0.85 ± 0.08	0.27 ± 0.09	0.56 ± 0.05