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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