plot.AUC {AUC}  R Documentation 
This function plots the (partial) sensitivity, specificity, accuracy and roc curves.
## S3 method for class 'AUC' plot(x, y = NULL, ..., type = "l", add = FALSE, min = 0, max = 1)
x 
an object produced by one of the functions

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 
Authors: Michel Ballings and Dirk Van den Poel, Maintainer: Michel.Ballings@UGent.be
Ballings, M., Van den Poel, D., Threshold Independent Performance Measures for Probabilistic Classifcation Algorithms, Forthcoming.
sensitivity
, specificity
,
accuracy
, roc
,
auc
, plot
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))