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.
Package details |
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Author | Younggun You [cre], Eric Stickney [aut] |
Maintainer | Younggun You <younggun@stanford.edu> |
License | CC0 |
Version | 0.1.3 |
Package repository | View on CRAN |
Installation |
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