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hybridEnsemble  

Build, Deploy and Evaluate Hybrid Ensembles
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("hybridEnsemble", "1.7.9")



Attach the package and use:
library("hybridEnsemble")
Maintained by
Michel Ballings
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-12-19
Latest Update: 2023-04-03
Description:
Functions to build and deploy a hybrid ensemble consisting of different sub-ensembles such as bagged logistic regressions, random forest, stochastic boosting, kernel factory, bagged neural networks, bagged support vector machines, rotation forest, bagged k-nearest neighbors, and bagged naive Bayes. Functions to cross-validate the hybrid ensemble and plot and summarize the results are also provided. There is also a function to assess the importance of the predictors.
How to cite:
Michel Ballings (2013). hybridEnsemble: Build, Deploy and Evaluate Hybrid Ensembles. R package version 1.7.9, https://cran.r-project.org/web/packages/hybridEnsemble. Accessed 21 Dec. 2024.
Previous versions and publish date:
0.1.0 (2013-12-19 15:14), 0.1.1 (2014-03-23 19:02), 1.0.0 (2015-05-30 16:22), 1.7.8 (2022-05-10 19:40), 1.7.9 (2023-03-08 15:50)
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