Table 1.
Classifier | Type/ | Sensitivity | Specificity | Accuracy |
---|---|---|---|---|
Name | Hyperparameter | (%) | (%) | (%) |
DA | Linear | 64 | 72 | 68 |
Diaglinear | 60 | 76 | 68 | |
Quadratic | 88 | 60 | 74 | |
Diagquadratic | 52 | 80 | 66 | |
Mahalanobis | 92 | 52 | 72 | |
SVM | Linear | 64 | 72 | 68 |
RBF | 76 | 76 | 76 | |
KNN | K = 5, | 60 | 60 | 60 |
Euclidean | ||||
K = 5, | 64 | 60 | 62 | |
Cityblock | ||||
RF | 50 trees | 80 | 76 | 78 |