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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.
Package details |
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Author | Michel Ballings, Dauwe Vercamer, Matthias Bogaert, and Dirk Van den Poel |
Maintainer | Michel Ballings <Michel.Ballings@GMail.com> |
License | GPL (>= 2) |
Version | 1.7.9 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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