[Retracted] Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG)

Table 2

Classification accuracies of classifiers applied to extracted features by FFT.

Subjects	KNN	LR	DT	LD	GNB	SVM
1	0.97	0.99	0.99	0.98	0.97	0.99
2	0.92	0.97	0.85	0.97	0.71	0.98
3	0.70	0.77	0.73	0.75	0.71	0.82
4	0.88	0.97	0.84	0.92	0.89	0.94
5	0.99	1.00	0.97	0.99	0.63	1.00
6	1.00	1.00	0.97	0.99	0.99	1.00
7	1.00	1.00	0.99	1.00	0.98	0.98
8	0.96	1.00	1.00	1.00	0.99	0.99
9	0.99	0.99	0.97	0.99	0.90	0.99
Average accuracy	0.93	0.97	0.92	0.95	0.86	0.97