ExplainPrediction: Explanation of Predictions for Classification and Regression Models

Package contains methods to generate explanations for individual predictions of classification and regression models. Weighted averages of individual explanations form explanation of the whole model. The package extends 'CORElearn' package, but other prediction models can also be explained using a wrapper.

Version: 1.1.4
Depends: CORElearn (≥ 1.47.0), semiArtificial (≥ 2.0.0)
Suggests: nnet, e1071, randomForest
Published: 2016-11-06
Author: Marko Robnik-Sikonja
Maintainer: Marko Robnik-Sikonja <marko.robnik at fri.uni-lj.si>
License: GPL-3
URL: http://lkm.fri.uni-lj.si/rmarko/software/
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: ExplainPrediction results


Reference manual: ExplainPrediction.pdf
Package source: ExplainPrediction_1.1.4.tar.gz
Windows binaries: r-devel: ExplainPrediction_1.1.4.zip, r-release: ExplainPrediction_1.1.4.zip, r-oldrel: ExplainPrediction_1.1.4.zip
OS X Mavericks binaries: r-release: ExplainPrediction_1.1.4.tgz, r-oldrel: ExplainPrediction_1.1.4.tgz
Old sources: ExplainPrediction archive

Reverse dependencies:

Reverse suggests: CORElearn


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