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-4.5-any)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'))

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

On CRAN:

3.69 score 9 stars 11 scripts 184 downloads 2 exports 43 dependencies

Last updated 6 years agofrom:31060b70d4. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 18 2025
R-4.5-winNOTEFeb 18 2025
R-4.5-macNOTEFeb 18 2025
R-4.5-linuxNOTEFeb 18 2025
R-4.4-winNOTEFeb 18 2025
R-4.4-macNOTEFeb 18 2025
R-4.3-winNOTEFeb 18 2025
R-4.3-macNOTEFeb 18 2025

Exports:OOBCurveOOBCurvePars

Dependencies:backportsBBmisccheckmateclicolorspacedata.tablefansifarverfastmatchggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmlrmunsellnlmeparallelMapParamHelperspillarpkgconfigR6randomForestrangerRColorBrewerRcppRcppEigenrlangscalesstringisurvivaltibbleutf8vctrsviridisLitewithrXML