This guide provides a brief introduction to Random Forests®.

Random Forests is a remarkably flexible learning machine capable of working with both continuous and categorical dependent (target) variables including multiclass targets. Random Forests is also surprisingly effective with relatively small learning data sets and also with very large numbers of potential predictors. This chapter attempts to cover all aspects of the software and therefore includes many sections.

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