build_hist_binning {CalibratR} | R Documentation |

## build_hist_binning

### Description

calculate estimated probability per bin, input predicted and real score as numeric vector; builds a histogram binning model which can be used to calibrate uncalibrated predictions using the predict_histogramm_binning method

### Usage

```
build_hist_binning(actual, predicted, bins = NULL)
```

### Arguments

`actual` |
vector of observed class labels (0/1) |

`predicted` |
vector of uncalibrated predictions |

`bins` |
number of bins that should be used to build the binning model, Default: decide_on_break estimates optimal number of bins |

### Details

if trainings set is smaller then threshold (15 bins*5 elements=75), number of bins is decreased

### Value

returns the trained histogram model that can be used to calibrate a test set using the `predict_hist_binning`

method

[Package

*CalibratR*version 0.1.2 Index]