Brain Informatics

Table 3 The performance of models for different features

From: MCGNet⁺: an improved motor imagery classification based on cosine similarity

Model	Feature	Accuracy	F1-score	Precision
MCGNet\(^{+}\)	PSD	0.2716	0.2695	0.2726
	DSAM	0.4124	0.4049	0.4052
	ASM	0.4039	0.3842	0.3877
	ASDM	0.3973	0.3881	0.3881
	DCAU	0.4375	0.4381	0.4435
	DE	0.5227	0.5239	0.5278
MutualGraphNet	PSD	0.2604	0.2286	0.2595
	DSAM	0.3646	0.3523	0.3541
	ASM	0.3815	0.3820	0.3879
	ASDM	0.3811	0.3777	0.3764
	DCAU	0.4162	0.4144	0.4191
	DE	0.5190	0.5175	0.5208

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