PatientLevelPrediction (version 6.4.1)

computeAuc: Compute the area under the ROC curve

Description

Compute the area under the ROC curve

Usage

computeAuc(prediction, confidenceInterval = FALSE)

Value

A data.frame containing the AUC and optionally the 95% confidence interval

Arguments

prediction

A prediction object as generated using the predict functions.

confidenceInterval

Should 95 percebt confidence intervals be computed?

Details

Computes the area under the ROC curve for the predicted probabilities, given the true observed outcomes.

Examples

prediction <- data.frame(
  value = c(0.1, 0.2, 0.3, 0.4, 0.5),
  outcomeCount = c(0, 1, 0, 1, 1))
computeAuc(prediction)