Instruction: Describe in detail what Gini Impurity is and how it is used in the construction of decision trees.
Context: This question assesses the candidate's understanding of a key concept in decision tree algorithms and their ability to explain complex concepts in simple terms.
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The way I'd explain it in an interview is this: Gini impurity is a measure of how mixed the classes are within a node of a decision tree. If a node contains mostly one class, the impurity is low. If the classes are more evenly mixed, the impurity...