randomForestExplainer: Explaining and Visualizing Random Forests in Terms of Variable Importance

A set of tools to help explain which variables are most important in a random forests. Various variable importance measures are calculated and visualized in different settings in order to get an idea on how their importance changes depending on our criteria (Hemant Ishwaran and Udaya B. Kogalur and Eiran Z. Gorodeski and Andy J. Minn and Michael S. Lauer (2010) <doi:10.1198/jasa.2009.tm08622>, Leo Breiman (2001) <doi:10.1023/A:1010933404324>).

Package details

AuthorAleksandra Paluszynska [aut], Przemyslaw Biecek [aut, ths], Yue Jiang [aut, cre] (<https://orcid.org/0000-0002-9798-5517>)
MaintainerYue Jiang <rivehill@gmail.com>
LicenseGPL
Version0.10.1
URL https://github.com/ModelOriented/randomForestExplainer
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("randomForestExplainer")

Try the randomForestExplainer package in your browser

Any scripts or data that you put into this service are public.

randomForestExplainer documentation built on July 12, 2020, 1:06 a.m.