Sentence examples for spec specificity from inspiring English sources
-, not indicated; Sens, sensitivity; Spec, specificity.
Sens, sensitivity; Spec, specificity; CI, confidence interval; AUC, area under the curve; LR+, positive likelihood-ratio; LR-, negative likelihood-ratio.
Abbreviations: Sens sensitivity, Spec specificity, PPV positive predictive value, NPP negative predictive value, AUC area under the curve, CI confidence interval and as in Table 2.
K-Nearest Neighborhood model with Euclidean distance measure & 3 neighbor was used; SEN: sensitivity; SPEC: specificity; PPV: Positive Predictive Value; NPV: Negative Predictive Value.
Abbreviations are as follows: Sens sensitivity, Spec specificity, LR+ likelihood ratio positive, LR- likelihood ratio negative, AUC area under the receiver operating characteristic curve.
AUC area under the curve, Sens Sensitivity, Spec Specificity, CI confidence interval, PPV positive predictive value, NPV negative predictive value, LP lipid plaque, § or non-lipid plaque.
BAC = balanced accuracy, SEN = sensitivity, SPEC = specificity, PPV = positive predictivity, NPV = negative predictivity.
where Sens is Sensitivity, Spec is Specificity, tp stands for true positive rate (e.g. the number of correctly predicted active compounds), tn – for true negative (correctly predicted inactive compounds), fp – for false positive (inactive compounds that've been predicted to be active), fn – for false negative (active compounds that've been identified as inactive ones).
= cut-off percentile, sens = sensitivity, Spec = specificity, PPV = positive predictive value, NPV = negative predictive value***p < 0.01; **p < 0.03, *p < 0.05 (null hypothesis: true area = 0.5).
MINI = the MINI Suicidal Scale OVV = other significant variables; SRS = Self-report Scale; TG = triglycerides; Sens = sensitivity; Spec = specificity; PPV = positive predictive value; NPV = negative predictive value; NNA = number needed to assess; LR+ = positive likelihood ratio; LR- = negative likelihood ratio.
