[blank1] impurity measures the probability of incorrectly cl…
[blank1] impurity measures the probability of incorrectly classifying a randomly chosen element, with 0 representing a pure node. Decision trees are prone to [blank2] when they grow too deep and learn training data too well. [response_blank1] [response_blank2]
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