% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plotting_utils.R
\name{plot_pr_curve}
\alias{plot_pr_curve}
\title{Plotting Precision-Recall Curve}
\usage{
plot_pr_curve(analysis_object)
}
\arguments{
\item{analysis_object}{Fitted analysis_object with 'fine_tuning()'.}
}
\value{
analysis_object
}
\description{
The \strong{plot_pr_curve()} function generates Precision-Recall curve tracing
the relationship between precision and recall across all classification
probability thresholds. Particularly informative for imbalanced datasets
where ROC curves may be misleading, as PR curves remain sensitive to class
distribution changes and provide intuitive performance assessment when one
class is substantially rarer than the other.
}
\examples{
# See the full pipeline example under plot_calibration_curve()
# Final call signature:
# plot_pr_curve(wrap_object)
}
\seealso{
\code{\link{plot_calibration_curve}}
}
