Building Predictive Models in R Using the caret Package
The caret package, short for classification and regression training, contains numerous tools for developing predictive models using the rich set of models available in R. The package focuses on simplifying model training and tuning across a wide variety of modeling techniques. It also includes metho...
Main Author: | Max Kuhn |
---|---|
Format: | Article |
Language: | English |
Published: |
Foundation for Open Access Statistics
2008-08-01
|
Series: | Journal of Statistical Software |
Subjects: | |
Online Access: | http://www.jstatsoft.org/v28/i05/paper |
Similar Items
-
Neurofitter: a parameter tuning package for a wide range of electrophysiological neuron models
by: Werner Van Geit, et al.
Published: (2007-11-01) -
The irace package: Iterated racing for automatic algorithm configuration
by: Manuel López-Ibáñez, et al.
Published: (2016-01-01) -
An approach for tuning ensemble prediction systems
by: Antti Solonen, et al.
Published: (2013-07-01) -
Tuning of Multivariable Model Predictive Control for Industrial Tasks
by: Robert Nebeluk, et al.
Published: (2021-01-01) -
Multi-Objective Parameter Selection for Classifers
by: Christoph Mussel, et al.
Published: (2012-01-01)