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The output of the tree on an input x is the prediction stored
at the leaf reached by x, which may be a target label y ∈ Y
or a distribution over the labels Y.
While the split function h(x; ) may be arbitrarily complex,
a common choice is a ‘stump’ where a single feature dimension
.of x is compared to a threshold