# Compute the top decile lift and plot the lift curve

### Description

`plotLift`

plots the commonly used lift curve by ordering the data by the predictions, and computing the proportion of positives for each bucket.

### Usage

1 |

### Arguments

`predicted` |
A numeric vector with the classifier's predicted scores / probabilities |

`labels` |
An integer vector containing binary labels with values 0,1 |

`cumulative` |
boolean. Should the cumulative lift curve be plotted or not? |

`n.buckets` |
scalar. How many buckets should be used. One can use more buckets with large datasets |

`...` |
additional parameters to the |

### Value

lift curve

### Author(s)

Steven Hoornaert, Michel Ballings, Dirk Van den Poel, Maintainer: Steven.Hoornaert@UGent.be

### Examples

1 2 |