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

Implements the GAMbag, GAMrsm and GAMens ensemble classifiers for binary classification (De Bock et al., 2010) <doi:10.1016/j.csda.2009.12.013>. The ensembles implement Bagging (Breiman, 1996) <doi:10.1023/A:1010933404324>, the Random Subspace Method (Ho, 1998) <doi:10.1109/34.709601> , 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.

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Package details

AuthorKoen W. De Bock, Kristof Coussement and Dirk Van den Poel
MaintainerKoen W. De Bock <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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GAMens documentation built on May 2, 2019, 1:07 p.m.