Table 6 Classification result comparison using different methods (using 646 features)24.
From: EEG based epileptic seizure detection using SVM fuzzy learning and metaheuristic optimization
Classifier | Hyperparameter | Training accuracy mean (%) | Test accuracy (%) |
|---|---|---|---|
Decision tree | Max depth: 15 | 92.34 | 93.07 |
Min sample split: 2 | |||
Knn | Num neighbours: 1 | 93.68 | 93.58 |
Logistic regression | Default | 84.69 | 84.21 |
Naive bayes | Gaussian | 79.46 | 81.00 |
Random forest | Max depth: 50 | 96.62 | 96.28 |
Num estimators: 150 | |||
XGBoost | Max depth: 5 | 97.83 | 97.43 |
Num estimators: 300 | |||
SVM | RBF | 84.74 | 87.29 |
Proposed | weight matrix & Gaussian | 100 | 98.1 |
