If I prune a decision tree, does that make the resulting decision tree always more general than the original decision tree?
Are there examples where this is not the case?
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If you filter something out by choosing one branch over another branch in the tree, the observations you did not choose are forever lost.
But to directly answer your question - no, it does not always make it more general. If you construct a tree where all the decision are exactly the same, then pruning does not make it more general.