Supervised Learning

Supervised learning refers to a large group of algorithms whose goal is to create a mapping from a set of features, a.k.a. predictors, a.k.a. covariates to an outcome or outcomes of interest.

In rtemis, supervised learning functions begin with s_. You can get a list of all available functions by running select_learn().