# Draw ROC curve.

### Description

Draw a ROC curve and calculate corresponding AUC.

### Usage

1 2 3 4 |

### Arguments

`pr` |
Vector holding prediction values. |

`labels` |
Vector with the corresponding labels to |

`measure` |
Argument from |

`x.measure` |
Argument from |

`colorize` |
Argument from |

`avg` |
Argument from |

`spread.estimate` |
Argument from |

`filter` |
Cutoff, when to plot the roc. |

`fitted` |
List. Each element holds the prediction vector for one repeat, fold, etc. |

`labels` |
List. Each element holds the true class vector for one repeat, fold, etc. |

### Details

`roc`

: Plotting of ROC curves using the `ROCR`

package.

`roc.binterval`

: Add a Monte Carlo interval for the roc curve, using bootstrap samples out of the prediction/label vectors. Note that `roc`

has to be called before.

### Value

The AUC value.

### Author(s)

Christian Bender (christian.bender@tron-mainz.de)

### See Also

`ROCR`

### Examples

1 2 3 4 | ```
## Not run:
#Todo.
## End(Not run)
``` |