predReliability: Estimates Reliability of Individual Supervised Learning Predictions

An implementation of reliability estimation methods described in the paper (Bosnic, Z., & Kononenko, I. (2008) <doi:10.1007/s10489-007-0084-9>), which allows you to test the reliability of a single predicted instance made by your model and prediction function. It also allows you to make a correlation test to estimate which reliability estimate is the most accurate for your model.

Version: 0.1.0
Depends: R (≥ 3.3.2)
Imports: parallel, cluster, rpart
Published: 2020-07-07
Author: Simon Cof [aut, cre]
Maintainer: Simon Cof <simon.cof at windowslive.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: predReliability results

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Reference manual: predReliability.pdf
Package source: predReliability_0.1.0.tar.gz
Windows binaries: r-devel: predReliability_0.1.0.zip, r-release: predReliability_0.1.0.zip, r-oldrel: predReliability_0.1.0.zip
macOS binaries: r-release (arm64): predReliability_0.1.0.tgz, r-release (x86_64): predReliability_0.1.0.tgz, r-oldrel: predReliability_0.1.0.tgz

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