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) , Leo Breiman (2001) ).


Reference manual

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0.9 by Aleksandra Paluszynska, 2 months ago


Browse source code at https://github.com/cran/randomForestExplainer

Authors: Aleksandra Paluszynska [aut, cre], Przemyslaw Biecek [aut, ths]

Documentation:   PDF Manual  

GPL license

Imports data.table, dplyr, dtplyr, DT, GGally, ggplot2, ggrepel, MASS, randomForest, reshape2, rmarkdown

Suggests knitr

See at CRAN