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Consider a node with class distribution [50%, 50%]. After a split, one criterion...

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Consider a node with class distribution [50%, 50%]. After a split, one criterion yields children [90%, 10%] and [30%, 70%], while another criterion yields children [100%, 0%] and [40%, 60%]. In practice, which statement is most accurate about Entropy vs Gini for these two splits?

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