Table 3.

Average classification accuracy and standard deviation for the best feature subset

Classifier	Average accuracy (%)	Std. deviation (%)	Adopted features
LDA	83.23	± 1.28	1
QDA	88.39	± 1.35	3
KNN	87.47	± 1.25	3
NB	90.38	± 0.89	2
SVM	89.84	± 1.38	2
NF	89.41	± 1.12	2
CART	87.74	± 1.07	1
PNN	91.13	± 1.12	2
FIS	86.40	± 1.19	1