Mapping ML Scores to Calibrated Predictions

Transforms your uncalibrated Machine Learning scores to well-calibrated prediction estimates that can be interpreted as probability estimates. The implemented BBQ (Bayes Binning in Quantiles) model is taken from Naeini (2015, ISBN:0-262-51129-0). Please cite this paper: Schwarz J and Heider D, Bioinformatics 2019, 35(14):2458-2465.


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install.packages("CalibratR")

0.1.2 by Dominik Heider, a month ago


Browse source code at https://github.com/cran/CalibratR


Authors: Johanna Schwarz , Dominik Heider


Documentation:   PDF Manual  


LGPL-3 license


Imports ggplot2, pROC, reshape2, parallel, foreach, stats, fitdistrplus, doParallel


See at CRAN