Description Usage Arguments Details Value Author(s) Examples

Plot the cumulative percentage of responders (ones) captured by the model

1 | ```
ks_plot(actuals, predictedScores)
``` |

`actuals` |
The actual binary flags for the response variable. It can take a numeric vector containing values of either 1 or 0, where 1 represents the 'Good' or 'Events' while 0 represents 'Bad' or 'Non-Events'. |

`predictedScores` |
The prediction probability scores for each observation. If your classification model gives the 1/0 predcitions, convert it to a numeric vector of 1's and 0's. |

Plot the cumulative percentage of responders (ones) captured by the model against the expected cumulative percentage of responders at random (i.e. had there been no model). The greater the distance between the random and model cumulatives, the better is the predictive ability of the model to effectively capture the responders (ones).

The KS plot

Selva Prabhakaran [email protected]

1 2 | ```
data('ActualsAndScores')
ks_plot(actuals=ActualsAndScores$Actuals, predictedScores=ActualsAndScores$PredictedScores)
``` |

```
```

InformationValue documentation built on May 29, 2017, 11:57 a.m.

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