Explaining and Visualizing Random Forests in Terms of Variable Importance


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Documentation for package ‘randomForestExplainer’ version 0.10.1

Help Pages

explain_forest Explain a random forest
important_variables Extract k most important variables in a random forest
measure_importance Importance of variables in a random forest
min_depth_distribution Calculate minimal depth distribution of a random forest
min_depth_interactions Calculate mean conditional minimal depth
plot_importance_ggpairs Plot importance measures with ggpairs
plot_importance_rankings Plot importance measures rankings with ggpairs
plot_min_depth_distribution Plot the distribution of minimal depth in a random forest
plot_min_depth_interactions Plot the top mean conditional minimal depth
plot_multi_way_importance Multi-way importance plot
plot_predict_interaction Plot the prediction of the forest for a grid of values of two numerical variables