CRAN/E | performanceEstimation

performanceEstimation

An Infra-Structure for Performance Estimation of Predictive Models

Installation

About

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.

Citation performanceEstimation citation info
github.com/ltorgo/performanceEstimation
Bug report File report

Key Metrics

Version 1.1.0
R ≥ 3.0
Published 2016-10-13 2758 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks performanceEstimation results

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Maintainer

Maintainer

Luis Torgo

ltorgo@dcc.fc.up.pt

Authors

Luis Torgo

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

performanceEstimation archive

Depends

R ≥ 3.0
methods

Imports

ggplot2 ≥ 0.9.3
parallelMap ≥ 1.3
parallel
tidyr ≥0.4.1
dplyr ≥ 0.4.3

Suggests

knitr
rmarkdown
devtools
e1071
DMwR
randomForest
quantmod
nnet
mlbench
MASS

Reverse Imports

MSclassifR