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.
|Author||Younggun You [cre], Eric Stickney [aut]|
|Maintainer||Younggun You <[email protected]>|
|Package repository||View on CRAN|
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