TABLE 2.
Summary of the classification results.
Classifiers | Precision | Sensitivity | Specificity | F1‐score | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
FE | IGE | Avg | FE | IGE | Avg | FE | IGE | Avg | FE | IGE | Avg | |
Stack | 0.87 | 0.71 | 0.81 | 0.85 | 0.74 | 0.81 | 0.74 | 0.85 | 0.77 | 0.86 | 0.72 | 0.81 |
SVM | 0.83 | 0.68 | 0.78 | 0.85 | 0.66 | 0.79 | 0.66 | 0.85 | 0.72 | 0.84 | 0.67 | 0.78 |
LogReg | 0.83 | 0.67 | 0.78 | 0.84 | 0.66 | 0.78 | 0.66 | 0.84 | 0.72 | 0.84 | 0.67 | 0.78 |
KNN | 0.87 | 0.66 | 0.80 | 0.76 | 0.80 | 0.78 | 0.76 | 0.80 | 0.78 | 0.84 | 0.71 | 0.79 |
RanFor | 0.85 | 0.69 | 0.80 | 0.84 | 0.70 | 0.79 | 0.70 | 0.84 | 0.77 | 0.85 | 0.69 | 0.80 |
GradBoost | 0.88 | 0.68 | 0.80 | 0.82 | 0.78 | 0.80 | 0.75 | 0.84 | 0.77 | 0.86 | 0.71 | 0.80 |
AdaBoost | 0.87 | 0.69 | 0.80 | 0.83 | 0.78 | 0.80 | 0.75 | 0.84 | 0.77 | 0.86 | 0.72 | 0.81 |
Bagging | 0.86 | 0.68 | 0.80 | 0.83 | 0.72 | 0.79 | 0.72 | 0.83 | 0.76 | 0.84 | 0.70 | 0.79 |
ExtRa Trees | 0.82 | 0.71 | 0.78 | 0.89 | 0.60 | 0.79 | 0.60 | 0.89 | 0.70 | 0.85 | 0.66 | 0.79 |
Note: Each row represents a classifier while their precision, sensitivity, specificity, and F1‐score are in the columns for focal epilepsy (FE), idiopathic generalized epilepsy (IGE), and their average.