plotBaseClassifier {ORION}

Base Classifier Performance Heatmap

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.