Table 1 Diagnostic performance indicators used in the comparative analysis.
Sensitivity (True positive rate) | TP/(TP + FN) | Proportion positive test results among diseased |
Specificity (True negative rate) | TN/(TN + FP) | Proportion negative test results among the “healthy” |
Accuracy | (TP + TN)/(TP + TN + FP + FN) | Proportion of correctly identified subjects |
Precision - Positive Predictive Values (PPV) | TP/(TP + FP) | — |
Youden’s index | Sensitivity + Specificity − 1 | Measures the performance of a dichotomous diagnostic test |
DOR | (TP/FN)/(FP/TN) | Ratio of the odds of positivity in disease relative to the odds of positivity in the non-diseased |
DOR (95% CI) | 95% CI = log DOR ± 1.96SE(log DOR), where \(SE(logDOR)=\sqrt{\frac{1}{TP}+\frac{1}{TN}+\frac{1}{FP}+\frac{1}{FN}}\) | — |
F1 Score | 2TP/(2TP+FP+FN) | Harmonic mean of precision and sensitivity |
Matthews Correlation Coefficient (MCC) | (TP x TN - FP x FN)/\(\sqrt{(({\rm{TP}}+{\rm{FP}}){\rm{x}}({\rm{TP}}+{\rm{FN}}){\rm{x}}({\rm{TN}}+{\rm{FP}}){\rm{x}}({\rm{TN}}+{\rm{FN}})}\) | Measure of quality of binary classifications |