Description Usage Arguments Value Author(s) Examples

`plotLift`

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

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`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 |

lift curve

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

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lift documentation built on May 29, 2017, 12:12 p.m.

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