Brain Informatics

Table 2 The classification accuracy of the different classifiers after adopting the proposed algorithm

From: Multiclass EEG signal classification utilizing Rényi min-entropy-based feature selection from wavelet packet transformation

Subject ID	SVM	Random forest	k-NN	MLP-ANN	LR
1	82	82	74	80	74
2	86	86	72	82	72
3	78	84	68	84	78
4	73	78	70	74	64
5	79	79	69	78	68
6	81	86	70	85	72
7	75	75	65	85	74
8	79	80	72	79	69
9	75	75	68	74	60
Average ± std	78.66 ± 4.03	80.55 ± 4.24	69.77 ± 2.68	80.11 ± 4.28	70.11 ± 5.53

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