Feature set | Classifier | Results |
---|
Min. | Mean | Max. | Std. |
---|
Only-EEG | SVM | 28.67 | 52.293 | 75.43 | 11.87 |
RF | 32.33 | 54.245 | 79.32 | 12.23 |
DT | 24.56 | 45.895 | 72.34 | 13.19 |
Only-fNIRS | SVM | 52.20 | 67.132 | 82.10 | 8.43 |
RF | 51.92 | 70.302 | 81.23 | 8.27 |
DT | 50.89 | 62.163 | 77.21 | 7.85 |
EEG–fNIRS | SVM | 63.39 | 70.233 | 83.71 | 6.34 |
RF | 69.46 | 76.255 | 88.20 | 5.21 |
DT | 53.35 | 64.464 | 80.38 | 7.33 |
- Note that “Min” represents the minimum value of classification accuracy for all subjects, “Max” represents the Maximum value of classification accuracy for all subjects, “Mean” represents the average of the classification accuracy of all subjects, “Std” represents the standard deviation value in classification accuracy for all subjects
- Bold represents the best results