this methods visualizes all implemented calibration models as a mapping function between original ML scores (x-axis) and calibrated predictions (y-axis)
plot_model(calibration_model, seq =NULL)
Arguments
calibration_model: output from the calibrate method.
seq: sequence of ML scores over which the mapping function should be evaluated, Default: 100 scores from the minimum to the maximum of the original ML scores