This package implements Freund and Schapire's Adaboost.M1 algorithm and Breiman's Bagging algorithm using classification trees as individual classifiers. Once these classifiers have been trained, they can be used to predict on new data. Also, cross validation predictions can be done.
| Version: | 1.1 |
| Depends: | R (≥ 2.4.0), rpart, mlbench |
| Author: | Esteban Alfaro Cortes, Matias Gamez Martinez and Noelia Garcia Rubio |
| Maintainer: | Esteban Alfaro Cortes <Esteban.Alfaro at uclm.es> |
| License: | GPL (≥ 2) |
| CRAN checks: | adabag results |
Downloads:
| Package source: | adabag_1.1.tar.gz |
| MacOS X binary: | adabag_1.1.tgz |
| Windows binary: | adabag_1.1.zip |
| Reference manual: | adabag.pdf |
| Old sources: | adabag archive |