Carolin Strobl , Torsten Hothorn , Achim Zeileis Party on ! A New , Conditional Variable Importance Measure for Random Forests Available in the party Package
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Party on ! A New
Random forests are one of the most popular statistical learning algorithms, and a variety of methods for fitting random forests and related recursive partitioning approaches is available in R. This paper points out two important features of the random forest implementation cforest available in the party package: The resulting forests are unbiased and thus preferable to the randomForest implemen...
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