TABLE II. performance Comparison for Dataset-1 Using 5701 Feature Vector for Binary Classification.

Category	Evaluation Measures	LGM	SVM	RF	KNN
Breathing Deep (D-1)	CA	0.969	0.557	0.969	0.691
	F-2	0.969	0.502	0.969	0.687
	PR	0.969	0.641	0.969	0.697
	RC	0.969	0.557	0.969	0.691
	AUC	0.968	0.543	0.968	0.687
Breathing Shallow (D-1)	CA	0.99	0.5	0.948	0.604
	F-2	0.99	0.421	0.948	0.602
	PR	0.99	0.258	0.95	0.606
	RC	0.99	0.5	0.948	0.604
	AUC	0.989	0.489	0.947	0.602
Cough Heavy (D-1)	CA	0.979	0.598	0.969	0.773
	F-2	0.979	0.555	0.969	0.773
	PR	0.979	0.695	0.969	0.773
	RC	0.979	0.598	0.969	0.773
	AUC	0.979	0.586	0.968	0.772
Cough Shallow (D-1)	CA	0.979	0.701	0.969	0.701
	F-2	0.979	0.684	0.969	0.696
	PR	0.98	0.756	0.971	0.719
	RC	0.979	0.701	0.969	0.701
	AUC	0.978	0.693	0.968	0.704
Vowel-/a/ (D-1)	CA	0.99	0.505	0.959	0.557
	F-2	0.99	0.427	0.958	0.538
	PR	0.99	0.263	0.962	0.565
	RC	0.99	0.505	0.959	0.557
	AUC	0.99	0.49	0.957	0.548
Vowel-/e/ (D-1)	CA	0.99	0.515	0.959	0.742
	F-2	0.99	0.434	0.959	0.737
	PR	0.99	0.266	0.959	0.759
	RC	0.99	0.515	0.959	0.742
	AUC	0.99	0.5	0.958	0.737
Vowel-/o/ (D-1)	CA	0.969	0.866	0.979	0.68
	F-2	0.969	0.866	0.979	0.678
	PR	0.969	0.866	0.979	0.685
	RC	0.969	0.866	0.979	0.68
	AUC	0.969	0.866	0.979	0.677
Counting Normal (D-1)	CA	0.966	0.712	0.966	0.712
	F-2	0.966	0.659	0.966	0.687
	PR	0.966	0.507	0.966	0.668
	RC	0.966	0.712	0.966	0.712
	AUC	0.958	0.5	0.958	0.552
Counting Fast (D-1)	CA	0.949	0.712	0.932	0.644
	F-2	0.949	0.669	0.932	0.607
	PR	0.949	0.656	0.932	0.492
	RC	0.949	0.712	0.932	0.644
	AUC	0.929	0.517	0.917	0.452