OOBCurve: Out of Bag Learning Curve

Provides functions to calculate the out-of-bag learning curve for random forests for any measure that is available in the 'mlr' package. Supported random forest packages are 'randomForest' and 'ranger' and trained models of these packages with the train function of 'mlr'. The main function is OOBCurve() that calculates the out-of-bag curve depending on the number of trees. With the OOBCurvePars() function out-of-bag curves can also be calculated for 'mtry', 'sample.fraction' and 'min.node.size' for the 'ranger' package.

Version: 0.3
Depends: R (≥ 3.3.3), mlr (≥ 2.11)
Imports: randomForest, ranger
Suggests: testthat
Published: 2018-08-30
DOI: 10.32614/CRAN.package.OOBCurve
Author: Philipp Probst [aut, cre]
Maintainer: Philipp Probst <philipp_probst at gmx.de>
BugReports: https://github.com/PhilippPro/OOBCurve/issues
License: GPL-3
URL: https://github.com/PhilippPro/OOBCurve
NeedsCompilation: no
Citation: OOBCurve citation info
Materials: README
CRAN checks: OOBCurve results


Reference manual: OOBCurve.pdf


Package source: OOBCurve_0.3.tar.gz
Windows binaries: r-devel: OOBCurve_0.3.zip, r-release: OOBCurve_0.3.zip, r-oldrel: OOBCurve_0.3.zip
macOS binaries: r-release (arm64): OOBCurve_0.3.tgz, r-oldrel (arm64): OOBCurve_0.3.tgz, r-release (x86_64): OOBCurve_0.3.tgz, r-oldrel (x86_64): OOBCurve_0.3.tgz
Old sources: OOBCurve archive


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