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. 2021 May 14;7:e523. doi: 10.7717/peerj-cs.523

Table 4. The classification accuracies of each piece after applied to OVA in the classification of multi-class EEG signals using the Random Forests classifier with and without ADASYN using 5-FCV (the third and fourth approaches).

The obtained piece after OVO The obtained
Classification accuracy (%)
Without ADASYN
The obtained
Classification accuracy (%)
With ADASYN
Class 1-others (the combination of class 2, class 3, class 4, and class 5) 98.10 98.40
Class 2-others (the combination of class 1, class 3, class 4, and class 5) 83.00 97.70
Class 3-others (the combination of class 1, class 2, class 4, and class 5) 84.60 88.50
Class 4-others (the combination of class 1, class 2, class 3, and class 5) 91.20 92.70
Class 5-others (the combination of class 1, class 2, class 3, and class 4) 88.10 91.50
The overall accuracy (average score) 89.00 91.72