autoplot: Plot the result of Precision-Recall curve evaluation

In prcbench: Testing Workbench for Precision-Recall Curves

Plot the result of Precision-Recall curve evaluation

Description

The plot_eval_results function validates Precision-Recall curves and creates a plot.

Usage

## S3 method for class 'evalcurve'
autoplot(
  object,
  base_plot = TRUE,
  ret_grob = FALSE,
  ncol = NULL,
  nrow = NULL,
  use_category = FALSE,
  multiplot_lib = "patchwork",
  ...
)

Arguments

object	An S3 object that contains evaluation results of Precision-Recall curves.
base_plot	A Boolean value to specify whether the base points are plotted.
ret_grob	A Boolean value to specify whether the function returns a grob object.
ncol	An integer used for the column size of multiple panes.
nrow	An integer used for the row size of multiple panes.
use_category	A Boolean value to specify whether the categorical summary instead of the total summary.
multiplot_lib	A string to decide which library is used to combine multiple plots. Either "patchwork" or "grid".
...	Not used by this function.

Value

A data frame with validation results.

Examples

library(ggplot2)

## Plot evaluation results on test datasets r1, r2, and r3
testset <- create_testset("curve", c("c1", "c2", "c3"))
toolset <- create_toolset(set_names = "crv5")
eres1 <- run_evalcurve(testset, toolset)
autoplot(eres1)

prcbench documentation built on March 31, 2023, 5:27 p.m.