Decision Tree Splitting Criterion

Medium

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Multiple Choice

Entropy always produces deeper, more accurate trees than Gini impurity Gini impurity and entropy typically yield similar results, with Gini being computationally cheaper Gini impurity is only suitable for multi-class problems, not binary classification Entropy requires feature scaling while Gini impurity does not

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