TABLE III. performance Comparison for Dataset-2,3,4,5 Using 5701 Feature Vector for Binary Classification.

Category (Dataset)	Evaluation Measures	LGM	SVM	RF	KNN
Cough (D-2)	CA	0.992	0.966	0.992	0.983
	F2	0.992	0.966	0.992	0.982
	PR	0.992	0.966	0.992	0.960
	RC	0.992	0.966	0.992	0.957
	AUC	0.986	0.955	0.980	0.940
Breathing (D-2)	CA	0.982	0.909	0.964	0.818
	F2	0.982	0.909	0.964	0.815
	PR	0.982	0.91	0.964	0.824
	RC	0.982	0.909	0.964	0.818
	AUC	0.981	0.9	0.959	0.797
Cough (D-3)	CA	0.969	0.965	0.942	0.793
	F2	0.968	0.965	0.941	0.781
	PR	0.969	0.965	0.947	0.823
	RC	0.969	0.965	0.942	0.793
	AUC	0.961	0.960	0.927	0.746
Sentence (D-4)	CA	0.992	0.991	0.992	0.928
	F2	0.992	0.991	0.992	0.928
	PR	0.993	0.992	0.993	0.928
	RC	0.992	0.991	0.992	0.928
	AUC	0.999	0.988	0.999	0.985
Cough (D-5)	CA	0.998	0.993	0.998	0.921
	F2	0.998	0.993	0.998	0.922
	PR	0.998	0.994	0.998	0.924
	RC	0.998	0.993	0.998	0.921
	AUC	0.999	0.985	0.999	0.971