Classifiers | Category | AUC | 95% CI | Sensitivity | Specificity |
---|---|---|---|---|---|
KNN | NTM | 0.84 | 0.66–0.82 | 0.65 | 0.83 |
TB | 0.84 | 0.66–0.82 | 0.83 | 0.65 | |
SVM | NTM | 0.90 | 0.78–0.92 | 0.94 | 0.77 |
TB | 0.90 | 0.78–0.92 | 0.77 | 0.94 | |
XGBoost | NTM | 0.96 | 0.75–0.87 | 0.97 | 0.65 |
TB | 0.96 | 0.75–0.87 | 0.65 | 0.97 | |
RF | NTM | 0.84 | 0.64–0.80 | 0.61 | 0.83 |
TB | 0.84 | 0.64–0.80 | 0.83 | 0.61 | |
LR | NTM | 0.95 | 0.84–0.96 | 0.94 | 0.87 |
TB | 0.95 | 0.84–0.96 | 0.87 | 0.94 | |
DT | NTM | 0.98 | 0.78–0.89 | 0.71 | 0.97 |
TB | 0.98 | 0.78–0.89 | 0.97 | 0.71 |