Stress Classification by Multimodal Physiological Signals Using Variational Mode Decomposition and Machine Learning

Table 3

Classification results for the k-fold cross validation.

Sets	Statistical parameters	K-fold MPLN	K-fold SVM	K-fold MPLN	K-fold SVM	K-fold MPLN	K-fold SVM
		Modes 1-4		Modes 5-8		Modes 1-8
Good performer vs. bad performer	Sensitivity	98.12	65.45	98.1	69	99.12	72.34
	Specificity	97	66	98	69	99	72.34
	Accuracy	97.56	63	98	69	99	72.34
	F-measure	0.98	0.7	0.97	0.59	1	0.7
	Kappa statistics	0.97	0.66	0.98	0.56	1	0.71
Good performer vs. bad performer (female)	Sensitivity	79.01	63.12	81.67	68.67	85.56	71.34
	Specificity	79.12	63.34	82.23	68.67	84	70
	Accuracy	77.45	63.45	81.78	68.67	84.02	71.78
	F-measure	0.69	0.68	0.82	0.65	0.89	0.68
	Kappa statistics	0.7	0.65	0.82	0.65	0.89	0.7
Good performer vs. bad performer (male)	Sensitivity	80.01	64.34	80.21	68.67	83	71
	Specificity	79.9	65.67	80.12	68.67	84	72
	Accuracy	79.12	64	80.32	68.67	84	71.34
	F-measure	0.89	0.65	0.79	0.68	0.86	0.72
	Kappa statistics	0.88	0.66	0.79	0.67	0.85	0.72
Good performer vs. bad performer (frontal region)	Sensitivity	98.23	71.01	98.45	70.67	100	75.23
	Specificity	98.45	79.23	98.45	70.67	100	73.23
	Accuracy	99.12	69	98.45	70.67	100	73.12
	F-Measure	0.99	0.76	0.99	0.69	1	0.72
	Kappa statistics	1	0.79	1	0.7	1	0.76
Good performer vs. bad performer (temporal region)	Sensitivity	99.82	68	99.99	61.23	100	76
	Specificity	98	68	99.99	65.12	100	78
	Accuracy	100	68	99.99	61.23	100	78
	F-measure	1	0.78	0.99	0.59	1	0.75
	Kappa statistics	1	0.76	1	0.59	1	0.78
Good performer vs. bad performer (occipital region)	Sensitivity	79.12	62.67	80.23	62.34	90	77
	Specificity	79	62	80.34	62.37	90	77
	Accuracy	77	61	80.32	62.78	90	77
	F-measure	0.9	0.6	0.89	0.62	0.87	0.78
	Kappa statistics	0.87	0.6	0.86	0.62	0.89	0.76
Good performer vs. bad performer (central region)	Sensitivity	76	65	79.78	63.43	82.12	69
	Specificity	77.78	65	79.56	63.56	82	69.12
	Accuracy	79.23	65	79.34	63.56	82	69
	F-measure	0.79	0.68	0.75	0.62	0.87	0.59
	Kappa statistics	0.79	0.66	0.78	0.62	0.86	0.59