GAMens: Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for Binary Classification
Version 1.2.1

Implements the GAMbag, GAMrsm and GAMens ensemble classifiers 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, ISBN:978-0412343902) 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 publication2018-04-05 17:12:34 UTC
MaintainerKoen W. De Bock <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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GAMens documentation built on April 6, 2018, 1:05 a.m.