Table 2. Comparison of performances for different number of electrodes.
ML algorithm | FC5-FC6 | AF3-AF4, FC5-FC6 | AF3-AF4, F7-F8 | F7-F8, FC5-FC6 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
ACC | SP | SE | ACC | SP | SE | ACC | SP | SE | ACC | SP | SE | |
LDA | 87.4 | 100 | 78 | 93.3 | 100 | 98 | 98.1 | 100 | 98 | 98.1 | 100 | 98 |
QDA | 94.7 | 100 | 98 | 92.0 | 100 | 96 | 98.3 | 100 | 100 | 100 | 100 | 100 |
Linear SVM | 86.3 | 100 | 76 | 90.8 | 100 | 95 | 98.3 | 100 | 100 | 100 | 100 | 100 |
Quadratic SVM | 83.1 | 100 | 96 | 91.5 | 100 | 98 | 98.3 | 100 | 99 | 100 | 100 | 100 |
Gaussian SVM | 87.2 | 100 | 80 | 93.3 | 100 | 97 | 98.3 | 100 | 98 | 100 | 100 | 100 |
KNN | 85.6 | 100 | 84 | 93.3 | 100 | 100 | 99.3 | 100 | 100 | 100 | 100 | 100 |
ACC: Accuracy, SP: Specificity, and SE: Sensitivity
AF: Anterior Frontal, F: Frontal, FC: Fronto-Central