performanceEstimation - An Infra-Structure for Performance Estimation of Predictive
Models
An infra-structure 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 infra-structure 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 pre-defined data pre-processing steps and also prediction
post- processing methods. It also provides means for addressing
issues related with the statistical significance of the
observed differences.
