Table 3 Classification precision, recall and accuracy calculated by the classifiers with the best performance for different EEG bands
From: EEG-based classification of epilepsy and PNES: EEG microstate and functional brain network features
EEG-band | Model | Precision | Recall | Accuracy |
|---|---|---|---|---|
Alpha | SVM (RBF) | 0.6906 | 0.592 | 0.592 |
Beta | SVM (Linear) | 0.6825 | 0.638 | 0.638 |
Delta | Random Forest | 0.6843 | 0.584 | 0.588 |
Theta | SVM (RBF) | 0.6492 | 0.534 | 0.534 |
Gamma | SVM (Linear) | 0.7001 | 0.554 | 0.554 |