Table 1.
Classifier | Evaluation Measures | ||||||
---|---|---|---|---|---|---|---|
Sensitivity (%) | Precision (%) | F1-Score (%) | AUC | Accuracy (%) | FNR (%) | Time (Seconds) | |
MC-SVM | 98.0 | 98.05 | 98.02 | 0.99 | 98.0 | 2.0 | 12.416 |
DT | 94.4 | 94.4 | 94.40 | 0.94 | 94.4 | 5.6 | 13.522 |
LDA | 94.2 | 94.5 | 94.35 | 0.94 | 94.2 | 5.8 | 20.968 |
KNB | 94.8 | 94.95 | 94.87 | 0.95 | 94.8 | 5.2 | 42.861 |
QSVM | 97.6 | 97.65 | 97.62 | 0.99 | 97.6 | 2.4 | 15.202 |
F-KNN | 96.9 | 95.45 | 96.17 | 0.97 | 96.9 | 3.1 | 12.115 |
Cosine KNN | 96.5 | 96.5 | 96.50 | 0.99 | 96.5 | 3.5 | 12.334 |
EBT | 96.3 | 96.35 | 96.32 | 0.97 | 96.3 | 3.7 | 20.253 |