Compute the area under the ROC curve — computeAuc • PatientLevelPrediction

Compute the area under the ROC curve

Usage

computeAuc(prediction, confidenceInterval = FALSE)

Arguments

prediction: A prediction object as generated using the predict functions.
confidenceInterval: Should 95 percebt confidence intervals be computed?

Value

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

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)
#> [1] 0.8333333