computeAuprc: Compute the area under the Precision-Recall curve
In PatientLevelPrediction: Develop Clinical Prediction Models Using the Common Data Model
View source: R/EvaluationSummary.R
computeAuprc R Documentation
Compute the area under the Precision-Recall curve
Description
Compute the area under the Precision-Recall curve
Usage
computeAuprc(prediction)
Arguments
prediction
A prediction object as generated using the
predict functions.
Details
Computes the area under the Precision-Recall curve for the predicted scores, given the true observed
outcomes.
Value
A numeric value containing the AUPRC
Examples
prediction <- data.frame(
value = c(0.1, 0.2, 0.3, 0.4, 0.5),
outcomeCount = c(0, 1, 0, 1, 1))
computeAuprc(prediction)
PatientLevelPrediction documentation built on March 9, 2026, 5:07 p.m.
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View source: R/EvaluationSummary.R
| computeAuprc | R Documentation |
Compute the area under the Precision-Recall curve
Description
Compute the area under the Precision-Recall curve
Usage
computeAuprc(prediction)
Arguments
prediction |
A prediction object as generated using the
|
Details
Computes the area under the Precision-Recall curve for the predicted scores, given the true observed outcomes.
Value
A numeric value containing the AUPRC
Examples
prediction <- data.frame(
value = c(0.1, 0.2, 0.3, 0.4, 0.5),
outcomeCount = c(0, 1, 0, 1, 1))
computeAuprc(prediction)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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