Table 4.

Comparison of the percentage of correct classification of the selected features subset by using QDA.

Selection method	Selected feature subset	Correct classification using QDA
JD	W3, D6, D7, D8, D9	79.95%
SFS with QDA	TR, LE, SE, VarEn, W1, W2, W4, D8, D9	87.47%
SFS with LDA	SE, VarEn, W2, W3, D1, D3, D7, D8, D9, MPF	83.71%
SFS with KNN	TR, LE, SE, VarEn, W1, W2, W3, W4, W5, D1, D2, D3, D4, D7, D8, MPF	84.96%
BPSO with QDA	LE, VarEn, W1, W4, D1, D2, D4, D5, D8, D9	88.72%
BPSO with LDA	SE, VarEn, W1, W2, D1, D4, D8, MPF	81.20%
BPSO with KNN	LE, SE, VarEn, W3, W4, D1, D3, D5, D6, D8	86.22%