  This document describes an infra-structure provided by the R package
performanceEstimation that allows to estimate the predictive performance of
different approaches (workflows) to predictive tasks. The infra-structure is
generic in the sense that it can be used to estimate the values of any
performance metrics, for any workflow on different predictive tasks, namely,
classification, regression and time series tasks. The package also includes
several standard workflows that allow users to easily set up their experiments
limiting the amount of work and information they need to provide. The overall
goal of the infra-structure provided by our package is to facilitate the task
of estimating the predictive performance of different modeling approaches to
predictive tasks in the R environment.
