Package: OOBCurve 0.3

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.

Authors:Philipp Probst [aut, cre]

OOBCurve_0.3.tar.gz
OOBCurve_0.3.zip(r-4.5)OOBCurve_0.3.zip(r-4.4)OOBCurve_0.3.zip(r-4.3)
OOBCurve_0.3.tgz(r-4.4-any)OOBCurve_0.3.tgz(r-4.3-any)
OOBCurve_0.3.tar.gz(r-4.5-noble)OOBCurve_0.3.tar.gz(r-4.4-noble)
OOBCurve_0.3.tgz(r-4.4-emscripten)OOBCurve_0.3.tgz(r-4.3-emscripten)
OOBCurve.pdf |OOBCurve.html
OOBCurve/json (API)

# Install 'OOBCurve' in R:
install.packages('OOBCurve', repos = c('https://philipppro.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/philipppro/oobcurve/issues

On CRAN:

2 exports 9 stars 1.39 score 43 dependencies 11 scripts 144 downloads

Last updated 6 years agofrom:31060b70d4. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-winNOTEAug 21 2024
R-4.5-linuxNOTEAug 21 2024
R-4.4-winNOTEAug 21 2024
R-4.4-macNOTEAug 21 2024
R-4.3-winNOTEAug 21 2024
R-4.3-macNOTEAug 21 2024

Exports:OOBCurveOOBCurvePars

Dependencies:backportsBBmisccheckmateclicolorspacedata.tablefansifarverfastmatchggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmlrmunsellnlmeparallelMapParamHelperspillarpkgconfigR6randomForestrangerRColorBrewerRcppRcppEigenrlangscalesstringisurvivaltibbleutf8vctrsviridisLitewithrXML