Table 3.
Average classification accuracy of three brain function networks in SVM and XGBoost
Accuracy (%) | SVM | XGBoost | ||||
---|---|---|---|---|---|---|
ALV | CO | PLV | ALV | CO | PLV | |
Theta | 69.51 | 67.76 | 69.31 | 78.88 | 73.35 | 76.13 |
Alpha | 72.91 | 64.91 | 66.31 | 82.84 | 76.18 | 79.05 |
Beta | 66.93 | 59.51 | 63.89 | 76.49 | 71.09 | 73.81 |
Bold text represents significant results