Table 4.
Classifier | ID | Best Feature | Best Classifier Hyperparameters | Performance | ||||
---|---|---|---|---|---|---|---|---|
Hyperparameters | (Optimised inside nested cross-validation) | Spec | Sens | Acc | AUC | |||
LR | C1 | , | , = 0.35, = 0.65 | 80.41% | 80.28% | 80.35% | 0.8055 | 0.003 |
C2 | , | , = 0.55, = 0.45 | 80.25% | 80.08% | 80.16% | 0.8058 | 0.003 | |
C3 | , | , = 0.2, = 0.8 | 80.39% | 80.55% | 80.47% | 0.8072 | 0.003 | |
C4 | , | , = 0.4, = 0.6 | 81.42% | 81.28% | 81.35% | 0.8135 | 0.003 | |
C5 | , | , = 0.25, = 0.75 | 80.22% | 80.41% | 80.31% | 0.8119 | 0.003 | |
C6 | , | , = 0.75, = 0.25 | 80.16% | 80.32% | 80.24% | 0.8124 | 0.003 | |
SVM | C7 | , | , | 80.71% | 82.91% | 81.81% | 0.8202 | 0.003 |
C8 | , | , | 80.22% | 82.94% | 81.58% | 0.8248 | 0.003 | |
C9 | , | , | 80.41% | 82.97% | 81.69% | 0.8212 | 0.003 | |
C10 | , | , | 80.91% | 84.11% | 82.51% | 0.8252 | 0.003 | |
C11 | , | , | 80.28% | 84.35% | 82.31% | 0.8245 | 0.003 | |
C12 | , | , | 80.55% | 82.78% | 81.68% | 0.8251 | 0.003 | |
MLP | C13 | , | , | 82.37% | 86.95% | 84.68% | 0.8507 | 0.003 |
C14 | , | , | 83.24% | 87.08% | 85.16% | 0.8558 | 0.003 | |
C15 | , | , | 83.55% | 87.41% | 85.47% | 0.8552 | 0.003 | |
C16 | , | , | 82.18% | 86.05% | 84.12% | 0.8424 | 0.003 | |
C17 | , | , | 84.47% | 86.89% | 85.67% | 0.8587 | 0.003 | |
C18 | , | , | 83.45% | 86.84% | 84.64% | 0.8499 | 0.003 |