Designed to assist novice to intermediate analysts in choosing an optimal classification model, particularly for working with relatively small data sets. It provides cross-validated results comparing several different models at once using a consistent set of performance metrics, so users can hone in on the most promising approach rather than attempting single model fittings at a time. The package predefined 12 most common classification models, although users are free to select from the 200+ other options available in caret package.
|Imports:||mlbench, e1071, purrr, magrittr, ggplot2, ModelMetrics, dplyr, stringr, gridExtra, tibble, psych, utils, knitr, caret|
|Author:||Younggun You [cre], Eric Stickney [aut]|
|Maintainer:||Younggun You <younggun at stanford.edu>|
|CRAN checks:||modeval results|
An introduction to the modeval package
|Windows binaries:||r-devel: modeval_0.1.3.zip, r-release: modeval_0.1.3.zip, r-oldrel: modeval_0.1.3.zip|
|OS X El Capitan binaries:||r-release: modeval_0.1.3.tgz|
|OS X Mavericks binaries:||r-oldrel: modeval_0.1.3.tgz|
|Old sources:||modeval archive|
Please use the canonical form https://CRAN.R-project.org/package=modeval to link to this page.