From: EEG-based classification of epilepsy and PNES: EEG microstate and functional brain network features
 | Alpha | Beta | Delta | Theta |
---|---|---|---|---|
Accuracy, Precision, Recall | ||||
 Random Forest | 0.552, 0.558, 0.552 | 0.694, 0.757, 0.694 | 0.506, 0.5064, 0.506 | 0.530, 0.539, 0.530 |
 SVM (Linear) | 0.430, 0.2539, 0.430 | 0.522, 0.431, 0.522 | 0.478, 0.336, 0.478 | 0.512, 0.432, 0.512 |
 SVM (RBF) | 0.498, 0.429, 0.498 | 0.502, 0.291, 0.502 | 0.514, 0.440, 0.514 | 0.498, 0.249, 0.498 |
 Decision Tree | 0.568, 0.5721, 0.568 | 0.730, 0.752, 0.730 | 0.544, 0.546, 0.544 | 0.604, 0.613, 0.604 |
 kNN | 0.576, 0.5838, 0.576 | 0.808, 0.839, 0.808 | 0.560, 0.584, 0.560 | 0.660, 0.668, 0.660 |
 Gradient Boost | 0.580, 0.587, 0.580 | 0.718, 0.751, 0.718 | 0.612, 0.618, 0.612 | 0.640, 0.653, 0.640 |