Answer :
Final answer:
Automated processes save time through efficiency, unlike decision trees which provide insights but require human intervention.
Explanation:
Automated processes save institutions time by streamlining tasks that would otherwise be done manually, thus increasing efficiency. For example, in the context of data analysis for fraud detection, automated processes can quickly sift through large volumes of data to identify potential fraudulent activities without human intervention, saving time and resources.
Decision trees, though useful in visually representing decision processes, may not necessarily directly save time in the same way automated processes do. While decision trees provide insights into decision-making paths, they require human interpretation and may not automate tasks.
Comparatively, the use of confusion matrices and decision trees focuses more on analyzing and understanding data, while automated processes such as those employed in fraud detection can efficiently perform tasks and save time for institutions.
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