evaluate_discrimination {CalibratR}

evaluate_discrimination

Description

computes various discrimination error values, namely: sensitivity, specificity, accuracy, positive predictive value (ppv), negative predictive value (npv) and AUC

Usage

evaluate_discrimination(actual, predicted, cutoff = NULL)

Arguments

actual

vector of observed class labels (0/1)

predicted

vector of uncalibrated predictions

cutoff

cut-off to be used for the computation of npv, ppv, sensitivity and specificity, Default: value that maximizes sensitivity and specificity (Youden-Index)

Value

list object with the following components:

sens

sensitivity

spec

specificity

acc

accuracy

ppv

positive predictive value

npv

negative predictive value

cutoff

cut-off that was used to compute the error values

auc

AUC value

See Also

roc