Remove glossary
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\label{rf}
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\cite{breiman1984} introduce the classification and regression tree
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(\gls{cart}) model that is built around the idea that a single binary
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(CART) model that is built around the idea that a single binary
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decision tree maps learned combinations of intervals of the feature
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columns to a label.
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Thus, each sample in the training set is associated with one leaf node that
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