plotPrecisionRecall

A prediction object as generated using the
<code><a rd-options="" href="/link/runPlp?package=PatientLevelPrediction&version=4.3.10" data-mini-rdoc="PatientLevelPrediction::runPlp">runPlp</a></code> function.

evaluation

type

Name of the file where the plot should be saved, for example
'plot.png'. See the function <code>ggsave</code> in the ggplot2 package for
supported file formats.

fileName

Plot the precision-recall curve using the sparse thresholdSummary data frame

A package for creating patient level prediction models. Given a
cohort of interest and an outcome of interest, the package can use data in the
OMOP Common Data Model to build a large set of features. These features can then
be assessed to fit a predictive model using a number of machine learning algorithms.
Several performance measures are implemented for model evaluation.

Jenna Reps

PatientLevelPrediction

Package for patient level prediction using data in the OMOP Common Data
Model

Martijn Schuemie

Marc Suchard

Patrick Ryan

Peter Rijnbeek

plotPrecisionRecall function

A prediction object as generated using the
<code><a rd-options='' href='runPlp'>runPlp</a></code> function.

plotPrecisionRecall: Plot the precision-recall curve using the sparse thresholdSummary data frame

Description

Usage

Arguments

Value

Details