GAMens: Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for Binary Classification
Version 1.2

Ensemble classifiers based upon generalized additive models for binary classification (De Bock et al. (2010) ). The ensembles implement Bagging (Breiman (1996) ), the Random Subspace Method (Ho (1998) ), or both, and use Hastie and Tibshirani's (1990) generalized additive models (GAMs) as base classifiers. Once an ensemble classifier has been trained, it can be used for predictions on new data. A function for cross validation is also included.

Getting started

Package details

AuthorKoen W. De Bock, Kristof Coussement and Dirk Van den Poel
Date of publication2016-03-02 01:56:37
MaintainerKoen W. De Bock <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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GAMens documentation built on May 29, 2017, 5:14 p.m.