Feature selection method Accuracy Sensitivity Specificity Gini 0.998656 0.867272 0.999969 Info Gain 0.998656 0.867272 0.999969 PCA 0.999815 0.918181 0.99996 Relieff 0.999829 0.927272 0.999962 SFS 0.999734 0.869090 0.999976 CSFMCOV 0.999976 0.996363 0.999983 GainRatio 0.998656 0.867272 0.999969

Table 3: Average classification accuracy, sensitivity and specificity based on leave-one-out using features using the seven feature selection techniques.