This package contains functions to build and deploy an ensemble
consisting of six different sub-ensembles: Bagged Logistic Regressions,
Random Forest, Stochastic AdaBoost, Kernel Factory, Bagged Neural Networks,
Bagged Support Vector Machines. 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.
| Version: |
0.1.1 |
| Imports: |
randomForest, kernelFactory, ada, rpart, ROCR, nnet, e1071, NMOF, GenSA, Rmalschains, pso, AUC, soma, genalg, reportr, nnls, quadprog, tabuSearch, glmnet |
| Published: |
2014-03-23 |
| Author: |
Michel Ballings, Dauwe Vercamer, and Dirk Van den Poel |
| Maintainer: |
Michel Ballings <Michel.Ballings at GMail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
hybridEnsemble results |