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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
2026-04-09 windows/windows R-4.5 | CalibratR_0.1.2.zip |
246.8 KiB |