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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
Browse package contents
Package details |
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| Author | Johanna Schwarz, Dominik Heider |
| Maintainer | Dominik Heider <heiderd@mathematik.uni-marburg.de> |
| License | LGPL-3 |
| Version | 0.1.2 |
| Package repository | View on CRAN |
| Installation |
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