evaluate_discrimination function

evaluate_discrimination

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

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)

Returns

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