build_hist_binning {CalibratR} | R Documentation |
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
build_hist_binning(actual, predicted, bins = NULL)
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 |
if trainings set is smaller then threshold (15 bins*5 elements=75), number of bins is decreased
returns the trained histogram model that can be used to calibrate a test set using the predict_hist_binning
method