hybridEnsembleNews

<code>hybridEnsembleNews</code> shows the NEWS file of the hybridEnsemble package.

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.

Michel Ballings

hybridEnsemble

Build, Deploy and Evaluate Hybrid Ensembles

hybridEnsembleNews function

Michel Ballings, Dauwe Vercamer, Matthias Bogaert, and Dirk Van den Poel, Maintainer: <a href="/link/Michel.Ballings%40GMail.com?package=hybridEnsemble&version=1.7.9" data-mini-rdoc="hybridEnsemble::Michel.Ballings@GMail.com">Michel.Ballings@GMail.com</a>

Author

Display the NEWS file — hybridEnsembleNews

Michel Ballings, Dauwe Vercamer, Matthias Bogaert, and Dirk Van den Poel, Maintainer: <a href='mailto:Michel.Ballings@GMail.com'>Michel.Ballings@GMail.com</a>

hybridEnsembleNews: Display the NEWS file

Description

Usage

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Author

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See Also

Examples