Calibrate Cross-validated Binary Classification Models — calibrate.ClassificationCV • rtemis

The goal of calibration is to adjust the predicted probabilities of a binary classification model so that they better reflect the true probabilities (i.e. empirical risk) of the positive class.

Arguments

x: ClassificationCV object.
algorithm: Character: Algorithm to use to train calibration model.
hyperparameters: Hyperparameters object: Setup using one of setup_* functions.
resampler_parameters: ResamplerParameters
verbosity: Integer: Verbosity level.
...: Not used

Author

EDG