Modified Support Vector Machine for Detecting Stress Level Using EEG Signals

Table 3

Effectiveness of proposed stress level, identification for 14 subjects in the dataset.

Subjects		Metrics
		Accuracy	Sensitivity	Specificity	F1 score
Cba	Existing	0.9226	0.9664	0.6405	0.9558
	Proposed	0.9141	0.9716	0.9074	0.9815
Clm	Existing	0.9162	0.9611	0.6272	0.9521
	Proposed	0.9586	0.9632	0.9124	0.9769
Ega	Existing	09195	0.9646	0.6116	0.9543
	Proposed	0.9645	0.9692	0.9095	0.9804
Fsa	Existing	0.9050	0.9610	0.5920	09449.
	Proposed	0.9660	0.9714	0.9078	0.9813
Gro	Existing	0.9180	0.9618	0.6262	0.9532
	Proposed	0.9592	0.9645	0.9055	0.9773
Hth	Existing	0.9184	0.9608	0.6363	0.9534
	Proposed	0.9671	0.9722	0.9111	0.9812
Lmi	Existing	0.9213	0.9636	0.6345	0.9552
	Proposed	0.9623	0.9675	0.9122	0.9790
Mba	Existing	0.9127	0.9626	0.5969	0.9501
	Proposed	0.9660	0.9707	0.9112	0.9813
Mma	Existing	0.9142	0.9586	0.6262	0.9509
	Proposed	0.9627	0.9699	0.9052	0.9794
Mta	Existing	0.9141	0.9608	0.5986	0.9512
	Proposed	0.9674	0.9729	0.9038	0.9821
Pla	Existing	0.9184	0.9596	0.6363	0.9536
	Proposed	0.9649	0.9705	0.9055	0.9806
Sce	Existing	0.9173	0.9611	0.6307	0.9527
	Proposed	0.9614	0.9664	0.9060	0.9787
Sph	Existing	0.9262	0.9681	0.6271	0.9583
	Proposed	0.9642	0.9650	0.9154	0.9806
Wpa	Existing	0.9072	0.9622	0.5862	0.9465
	Proposed	0.9646	0.970	0.9101	0.9803