1 Introduction The caret package (short for Classification And REgression Training) is a set of functions that attempt to streamline the process for creating predictive models. The package contains tools for: data splitting pre-processing feature selection model tuning using resampling variable importance estimation as well as other functionality. There are many different modeling functions in R.
![The caret Package](https://cdn-ak-scissors.b.st-hatena.com/image/square/a6c96574e499e3f6e7ad88a6c72dd123c157d6db/height=288;version=1;width=512/http%3A%2F%2Ftopepo.github.io%2Fcaret%2Fcarrot.png)