ClassificationEnsembles: Automatically Builds 20 Classification Models

Automatically builds 20 classification models from data. The package returns 26 plots, 5 tables and a summary report. The package automatically builds 12 individual classification models, including error (RMSE) and predictions. That data is used to create an ensemble, which is then modeled using 8 methods. The process is repeated as many times as the user requests. The mean of the results are presented in a summary table. The package returns the confusion matrices for all 20 models, tables of the correlation of the numeric data, the results of the variance inflation process, the head of the ensemble and the head of the data frame.

Version:	0.5.0
Depends:	C50, car, caret, corrplot, doParallel, dplyr, e1071, ggplot2, gt, ipred, MachineShop, magrittr, parallel, pls, purrr, R (≥ 2.10), randomForest, ranger, reactable, reactablefmtr, scales, tidyr, tree
Suggests:	knitr, rmarkdown
Published:	2025-04-01
DOI:	10.32614/CRAN.package.ClassificationEnsembles
Author:	Russ Conte [aut, cre, cph]
Maintainer:	Russ Conte <russconte at mac.com>
BugReports:	https://github.com/InfiniteCuriosity/ClassificationEnsembles/issues
License:	MIT + file LICENSE
URL:	https://github.com/InfiniteCuriosity/ClassificationEnsembles
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	ClassificationEnsembles results

Documentation:

Reference manual:	ClassificationEnsembles.pdf
Vignettes:	ClassificationEnsembles-vignette (source)

Downloads:

Package source:	ClassificationEnsembles_0.5.0.tar.gz
Windows binaries:	r-devel: not available, r-release: ClassificationEnsembles_0.5.0.zip, r-oldrel: ClassificationEnsembles_0.5.0.zip
macOS binaries:	r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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