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.
- Pub Date:
- December 2014
- Computer Science - Mathematical Software;
- Computer Science - Machine Learning;
- Computer Science - Software Engineering;
- Statistics - Computation
- Updated to version 1.0.2 of the R package. Added a small section on package installation. Made explicit the reference to the R package version number within the document