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Decision forests (regression, two-class, and multi class), decision jungles (two-class and multi class), and boosted decision trees (regression and two-class) are all based on decision trees, a foundation machine learning concept. There are many variants of decision trees, but they all do the same thing—subdivide the feature space into regions with mostly the same label. These can be regions of consistent category or of constant value, depending on whether you are doing classification or regression. - Dinesh Chandrasekar

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