plot.AUC {AUC} | R Documentation |

## 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 |

`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.

### See Also

`sensitivity`

, `specificity`

, `accuracy`

, `roc`

, `auc`

, `plot`

### 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*version 0.3.2 Index]