plot_confusion: Plot confusion matrix for a classification predx object.

In PiotrTymoszuk/caretExtra: Extra functionality for predictions and quality control of caret models

Plot confusion matrix for a classification predx object.

Description

Generates a heat map representation of the confusion matrix. Outcome is presented in the X axis, fitted is presented in the Y axis.

Usage

plot_confusion(
  predx_object,
  scale = c("none", "fraction", "percent"),
  show_labels = TRUE,
  label_size = 2.75,
  label_color = "black",
  signif_digits = 2,
  plot_title = NULL,
  plot_subtitle = NULL,
  plot_tag = NULL,
  x_lab = ".outcome",
  y_lab = ".fitted",
  cust_theme = ggplot2::theme_classic()
)

Arguments

predx_object	a predx object.
scale	indicates, how the table is to be scaled. 'none' returns the counts (default), 'fraction' returns the fraction of all observations, 'percent' returns the percent of all observations.
show_labels	logical, indicates if counts/fractions/percents are shown in the plot.
label_size	size of the label text.
label_color	color of the label text.
signif_digits	significant digits for rounding of the label values.
plot_title	plot title.
plot_subtitle	plot subtitle.
plot_tag	plot tag, contains a reference to scale and the observation number if not specified.
x_lab	X axis label.
y_lab	Y axis label.
cust_theme	customized plot theme provided by the user.

Value

returns a ggplot object.

PiotrTymoszuk/caretExtra documentation built on Oct. 15, 2023, 10:03 p.m.