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:

3.69 score 9 stars 11 scripts 177 downloads 2 exports 43 dependencies

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

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winNOTENov 20 2024
R-4.5-linuxNOTENov 20 2024
R-4.4-winNOTENov 20 2024
R-4.4-macNOTENov 20 2024
R-4.3-winNOTENov 20 2024
R-4.3-macNOTENov 20 2024

Exports:OOBCurveOOBCurvePars

Dependencies:backportsBBmisccheckmateclicolorspacedata.tablefansifarverfastmatchggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmlrmunsellnlmeparallelMapParamHelperspillarpkgconfigR6randomForestrangerRColorBrewerRcppRcppEigenrlangscalesstringisurvivaltibbleutf8vctrsviridisLitewithrXML