plotBaseClassifier: Base Classifier Performance Heatmap

In ORION: Ordinal Relations

Description

Plots a heatmap that shows base classifier performance.

Usage

plotBaseClassifier(
  x = NULL,
  classNames = NULL,
  symmetric = FALSE,
  main = "summary of base classifiers",
  xlab = "second class",
  ylab = "first class",
  digits = 3,
  ignore = 0,
  first.colors = c("#f5f5f5", "#8c510a"),
  second.colors = c("#f5f5f5", "#01665e"),
  na.color = c("yellow"),
  las = 1,
  color.key = TRUE,
  cex = 1,
  cex.lab = 1,
  ...
)

Arguments

x	A Conf object as it is returned by conf-function.
classNames	Vector of the original class names. If not given the class number is used instead.
symmetric	Logical indicating whether a symmetric base classifier (TRUE) is used.
main	See plot.
xlab	A title for the x axis (see plot).
ylab	A title for the y axis (see plot).
digits	Integer indicating the number of decimal places to be used (see round).
ignore	A numeric value between 0 and 1. All confusion and purity values below this number are not written as string into the corresponding element.
first.colors	A 2-element vector of the color for the minimal and maximal class-wise sensitivity of the first class. The color palette is calcuated by an interpolation between the 2 given colors.
second.colors	A 2-element vector of the color for the minimal and maximal class-wise sensitivity of the second class. The color palette is calcuated by an interpolation between the 2 given colors.
na.color	Color, which is used for indicating the empty elements (if the given class is not part of the cascade).
las	See par.
color.key	Specifies whether a color key is drawn (TRUE) or not (FALSE).
cex	See par.
cex.lab	See par.
...	Further arguments passed from other methods.

Details

This function plots a heatmap of the base classifier performance.

Value

No return value, called to generate the heatmap plot.

ORION documentation built on Feb. 7, 2022, 5:15 p.m.