Table 2:
List of baseline seizure forecasting models used in this work.
| Baseline Model | Classifier () | Features (x) | Reference |
|---|---|---|---|
| A | k-Nearest Neighbor | Power features, Statistical features (line-length, signal average) | Based on Ref.71 |
| B | Logistic Regression | Power features | Based on Ref.72 |
| C | Support Vector Machine | Power features, Power correlation, Eigenvalues | ‘Birchwood’ model in Ref.73 |
| D | Random Forest | Power features, Time correlation, Eigenvalues, Statistical features (channel kurtosis, standard deviation, line-length) | Team B in Ref.15 |
| E | Convolutional Neural Network | Power features | Based on Ref.47 |
| F | Transformer | Power feature | Model in Ref.57 |