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. 2020 Aug 11;20(16):4485. doi: 10.3390/s20164485

Table 6.

Classification accuracy of the methods for the BCI competition IV dataset 1 (baseline: 74.5 ± 4.0%).

Ratio Accuracy% (Mean ± std. dev.)
Method 1:1 1:3 1:5 1:7 1:9
CNN-GT 70.5 ± 2.0 68.5 ± 3.2 69.7 ± 1.8 63.5 ± 2.1 68.5 ± 3.7
CNN-NA 76.5 ± 2.2 77.8 ± 3.5 72.1 ± 5.2 69.8 ± 3.5 70.3 ± 3.9
CNN-AE 75.6 ± 3.0 78.2 ± 1.8 77.6 ± 3.5 72.0 ± 3.7 68.2 ± 5.2
CNN-VAE 77.8 ± 3.4 78.2 ± 2.2 75.4 ± 3.6 73.1 ± 2.2 70.8 ± 3.9
CNN-DCGAN 82.5 ± 1.7 83.2 ± 3.5 80.9 ± 2.1 75.5 ± 4.6 78.6 ± 2.6