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. 2021 Aug 12;7:e670. doi: 10.7717/peerj-cs.670

Table 4. Metrics used to compare the algorithms.

Metric Formula Range Target value
Sensitivity TP/(TP + FN) [0, 1] ∼1
Specificity TN/(FP + TN) [0, 1] ∼1
LR+ Sensitivity/(1-specificity) [0, +) >10
LR− (1-sensitivity)/specificity [0, +) <0.1
DOR (TP/FN)/(FP/TN) [0, +) >1
F1-score TP/(TP + 1/2 (FP + FN)) [0, 1] ∼1
AUROC Area under the ROC curve [0, 1] ∼1

Note:

TP, True positives; TN, True negatives; FP, False positives; FN, False negatives.