Table 5 Summary table of performance Metrics.
From: EEG based epileptic seizure detection using SVM fuzzy learning and metaheuristic optimization
Method | Accuracy (Acc) | Sensitivity (Sens) | Specificity (Spec) | Precision (Prec) | F1-score (F1-S) |
|---|---|---|---|---|---|
SVM-fuzzy (proposed) | 98.1 ± 1.2 | 97.8 ± 1.5 | 98.4 ± 1.1 | 98.0 ± 1.3 | 97.9 ± 1.4 |
XGBoost | 97.4 ± 1.8 | 96.5 ± 2.0 | 97.2 ± 1.7 | 96.8 ± 1.9 | 96.6 ± 1.8 |
Random Forest | 96.8 ± 2.1 | 95.9 ± 2.3 | 96.5 ± 2.0 | 96.2 ± 2.2 | 96.0 ± 2.1 |
Knn | 95.5 ± 2.5 | 94.7 ± 2.7 | 95.3 ± 2.4 | 95.0 ± 2.6 | 94.8 ± 2.5 |
Logistic Regression | 94.2 ± 2.8 | 93.4 ± 3.0 | 94.0 ± 2.9 | 93.8 ± 3.1 | 93.6 ± 3.0 |
Decision Tree | 93.7 ± 3.2 | 92.8 ± 3.4 | 93.5 ± 3.1 | 93.2 ± 3.3 | 93.0 ± 3.2 |
Naïve Bayes | 92.5 ± 3.5 | 91.7 ± 3.7 | 92.3 ± 3.6 | 92.0 ± 3.8 | 91.8 ± 3.7 |
