bcr: Balanced classification rate

In EU-ECDC/HerpesZosterModel: ZM

Description

Balanced classification rate is given by

BCR = (TP / (TP + FN) + TN / (TN + FP)) / 2

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

Usage

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

Arguments

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

See Also

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

Examples

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

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