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OOBCurve  

Out of Bag Learning Curve
View on CRAN: Click here


Download and install OOBCurve package within the R console
Install from CRAN:
install.packages("OOBCurve")

Install from Github:
library("remotes")
install_github("cran/OOBCurve")

Install by package version:
library("remotes")
install_version("OOBCurve", "0.3")



Attach the package and use:
library("OOBCurve")
Maintained by
Philipp Probst
[Scholar Profile | Author Map]
First Published: 2017-02-24
Latest Update: 2018-08-30
Description:
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.
How to cite:
Philipp Probst (2017). OOBCurve: Out of Bag Learning Curve. R package version 0.3, https://cran.r-project.org/web/packages/OOBCurve. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1 (2017-02-24 17:31), 0.2 (2017-10-24 13:50)
Other packages that cited OOBCurve R package
View OOBCurve citation profile
Other R packages that OOBCurve depends, imports, suggests or enhances
Complete documentation for OOBCurve
Functions, R codes and Examples using the OOBCurve R package
Some associated functions: OOBCurve . OOBCurvePars . 
Some associated R codes: OOBCurve.R . OOBCurvePars.R .  Full OOBCurve package functions and examples
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