CalibratR: 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.

Getting started

Package details

AuthorJohanna Schwarz, Dominik Heider
MaintainerDominik Heider <heiderd@mathematik.uni-marburg.de>
LicenseLGPL-3
Version0.1.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CalibratR")

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CalibratR documentation built on Aug. 19, 2019, 5:04 p.m.