AUC: plot.AUC – R documentation

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AUC

plot.AUC

Plot the sensitivity, specificity, accuracy and roc curves.

Description

This function plots the (partial) sensitivity, specificity, accuracy and roc curves.

Usage

## S3 method for class 'AUC'
 plot(x, y = NULL, ..., type = "l",
    add = FALSE, min = 0, max = 1)

Arguments

`x`	an object produced by one of the functions `sensitivity`, `specificity`, `accuracy`, or `roc`
`y`	Not used.
`...`	Arguments to be passed to methods, such as graphical parameters. See ?plot
`type`	Type of plot. Default is line plot.
`add`	Logical. If TRUE the curve is added to an existing plot. If FALSE a new plot is created.
`min`	a numeric value between 0 and 1, denoting the cutoff that defines the start of the area under the curve
`max`	a numeric value between 0 and 1, denoting the cutoff that defines the end of the area under the curve

Author(s)

Authors: Michel Ballings and Dirk Van den Poel, Maintainer: Michel.Ballings@UGent.be

References

Ballings, M., Van den Poel, D., Threshold Independent Performance Measures for Probabilistic Classifcation Algorithms, Forthcoming.

Examples

data(churn)

plot(sensitivity(churn$predictions,churn$labels))

plot(specificity(churn$predictions,churn$labels))

plot(accuracy(churn$predictions,churn$labels))

plot(roc(churn$predictions,churn$labels))

AUC

Threshold independent performance measures for probabilistic classifiers.

v0.3.0

GPL (>= 2)

Authors

Michel Ballings and Dirk Van den Poel

Initial release

2013-09-30