Myoelectric Pattern Recognition Performance Enhancement Using Nonlinear Features

Table 6

The p values between group 1 and group 2.

Parameter	Classifier	FS1	FS2	FS3	FS4
Accuracy	LDA	0.001	0.210	p < 0.001	p < 0.001
	SVM	p < 0.001	p < 0.001	p < 0.001	p < 0.001
	KNN	p < 0.001	p < 0.001	p < 0.001	p < 0.001
Sensitivity	LDA	0.001	0.194	p < 0.001	p < 0.001
	SVM	p < 0.001	p < 0.001	p < 0.001	p < 0.001
	KNN	p < 0.001	p < 0.001	p < 0.001	p < 0.001
Specificity	LDA	0.002	0.199	p < 0.001	p < 0.001
	SVM	p < 0.001	p < 0.001	p < 0.001	p < 0.001
	KNN	p < 0.001	p < 0.001	p < 0.001	p < 0.001
Precision	LDA	0.001	0.069	p < 0.001	p < 0.001
	SVM	p < 0.001	p < 0.001	p < 0.001	p < 0.001
	KNN	p < 0.001	p < 0.001	p < 0.001	p < 0.001
F1 score	LDA	0.002	0.198	p < 0.001	p < 0.001
	SVM	p < 0.001	p < 0.001	p < 0.001	p < 0.001
	KNN	p < 0.001	p < 0.001	p < 0.001	p < 0.001