auc: Area under ROC curve

In EU-ECDC/HerpesZosterModel: ZM

Description

The area under the receiver operating characteristic (ROC) curve for a 2 x 2 confusion matrix is given by

AUC = ((TP / (TP + FN) - (TN / (TN + FP)) + 1) / 2

where TP denotes true positives, TN denotes true negatives, FP denotes false positives, and FN denotes false negatives.

Usage

auc(tp, tn, fp, fn, ...)

Arguments

tp	True positives
tn	True negatives
fp	False positives
fn	False negatives

References

\insertRef

Powers2007zostmod

See Also

Other classification scores: bcr, brier, dor, dp, err, et, f1, fai, fm, gain, gl, gm, ignr, jacc, kappa, lr, mcc, op, rand, rt, rus, sm, ss, tss

Examples

auc(tp = 45, fp = 15, fn = 25, tn = 15)

EU-ECDC/HerpesZosterModel documentation built on July 7, 2019, 2:58 a.m.