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OTE
View on CRAN: Click
here
Download and install OTE package within the R console
Install from CRAN:
install.packages("OTE")
Install from Github:
library("remotes")
install_github("cran/OTE")
Install by package version:
library("remotes")
install_version("OTE", "1.0.1")
Attach the package and use:
library("OTE")
Maintained by
Zardad Khan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-07-31
Latest Update: 2020-04-20
Description:
Functions for creating ensembles of optimal trees for regression, classification (Khan, Z., Gul, A., Perperoglou, A., Miftahuddin, M., Mahmoud, O., Adler, W., & Lausen, B. (2019). (2019) ) and class membership probability estimation (Khan, Z, Gul, A, Mahmoud, O, Miftahuddin, M, Perperoglou, A, Adler, W & Lausen, B (2016) ) are given. A few trees are selected from an initial set of trees grown by random forest for the ensemble on the basis of their individual and collective performance. Three different methods of tree selection for the case of classification are given. The prediction functions return estimates of the test responses and their class membership probabilities. Unexplained variations, error rates, confusion matrix, Brier scores, etc. are also returned for the test data.
How to cite:
Zardad Khan (2015). OTE: Optimal Trees Ensembles for Regression, Classification and Class Membership Probability Estimation. R package version 1.0.1, https://cran.r-project.org/web/packages/OTE
Previous versions and publish date:
1.0 (2015-07-31 05:26)
Other packages that cited OTE R package
View OTE citation profile
Other R packages that OTE depends,
imports, suggests or enhances
Functions, R codes and Examples using
the OTE R package
Some associated functions: Body . Galaxy . OTClass . OTE-package . OTProb . OTReg . Predict.OTClass . Predict.OTProb . Predict.OTReg .
Some associated R codes: OTClass.R . OTProb.R . OTReg.R . Predict.OTClass.R . Predict.OTProb.R . Predict.OTReg.R . Full OTE package functions and examples
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