ReForeSt: Random Forests in Apache Spark

Abstract

Random Forests (RF) of tree classifiers are a popular ensemble method for classification. RF are usually preferred with respect to other classification techniques because of their limited hyperparameter sensitivity, high numerical robustness, native capacity of dealing with numerical and categorical features, and effectiveness in many real world… (More)
DOI: 10.1007/978-3-319-68612-7_38

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