hybridEnsemble (1.0.0)

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Build, Deploy and Evaluate Hybrid Ensembles.


Functions to build and deploy a hybrid ensemble consisting of eight different sub-ensembles: bagged logistic regressions, random forest, stochastic boosting, kernel factory, bagged neural networks, bagged support vector machines, rotation forest, and bagged k-nearest neighbors. 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.

Maintainer: Michel Ballings
Author(s): Michel Ballings, Dauwe Vercamer, and Dirk Van den Poel

License: GPL (>= 2)

Uses: ada, AUC, e1071, FNN, genalg, GenSA, glmnet, kernelFactory, NMOF, nnet, nnls, pso, quadprog, randomForest, reportr, Rmalschains, ROCR, rotationForest, rpart, soma, tabuSearch, testthat

Released about 3 years ago.

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