Instruction: Explain how entropy is used in the context of decision trees and its importance.
Context: The question evaluates the candidate's understanding of how decision trees use entropy to measure the disorder or uncertainty and how it guides the splitting process.
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The way I'd explain it in an interview is this: In decision trees, entropy is a way of measuring how mixed or uncertain a node is. If a node contains only one class, entropy is low. If it contains a more even...