ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Abstract
We introduce the C++ application and R package ranger. The software is a fast implementation of random forests for high dimensional data. Ensembles of classification, regression and survival trees are supported. We describe the implementation, provide examples, validate the package with a reference implementation, and compare runtime and memory usage with other implementations. The new software proves to scale best with the number of features,...
Paper Details
Title
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Published Date
Aug 18, 2015
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