An infrastructure for estimating the predictive performance of predictive models. In this context, it can also be used to compare and/or select among different alternative ways of solving one or more predictive tasks. The main goal of the package is to provide a generic infrastructure to estimate the values of different metrics of predictive performance using different estimation procedures. These estimation tasks can be applied to any solutions (workflows) to the predictive tasks. The package provides easy to use standard workflows that allow the usage of any available R modeling algorithm together with some predefined data preprocessing steps and also prediction post processing methods. It also provides means for addressing issues related with the statistical significance of the observed differences.
Package details 


Author  Luis Torgo [aut, cre] 
Maintainer  Luis Torgo <ltorgo@dcc.fc.up.pt> 
License  GPL (>= 2) 
Version  1.1.0 
URL  https://github.com/ltorgo/performanceEstimation 
Package repository  View on CRAN 
Installation 
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