Evaluation of Classification Model Options
Description
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.