specificity: Calculate specificity

In cutpointr: Determine and Evaluate Optimal Cutpoints in Binary Classification Tasks

Calculate specificity

Description

Calculate specificity from true positives, false positives, true negatives and false negatives. The inputs must be vectors of equal length.

specificity = tn / (tn + fp)

Usage

specificity(fp, tn, ...)

Arguments

fp	(numeric) number of false positives.
tn	(numeric) number of true negatives.
...	for capturing additional arguments passed by method.

See Also

Other metric functions: F1_score(), Jaccard(), abs_d_ppv_npv(), abs_d_sens_spec(), accuracy(), cohens_kappa(), cutpoint(), false_omission_rate(), metric_constrain(), misclassification_cost(), npv(), odds_ratio(), p_chisquared(), plr(), ppv(), precision(), prod_ppv_npv(), prod_sens_spec(), recall(), risk_ratio(), roc01(), sensitivity(), sum_ppv_npv(), sum_sens_spec(), total_utility(), tpr(), tp(), youden()

Examples

specificity(10, 5, 20, 10)
specificity(c(10, 8), c(5, 7), c(20, 12), c(10, 18))

cutpointr documentation built on April 14, 2022, 1:06 a.m.