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Data Science in Banking: Finding Hard Rules with Shallow Decision Trees

Data Science in Banking, Part 1: Finding Hard Rules with Shallow Decision Trees A credit team reviewing an early-arrears model will eventually ask a practical question: which applications does it flag, and why? A short rule can make that concrete. It identifies a segment, shows the conditions for entering it, and lets us count the cases that contradict its prediction. The difficult part is…

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Data Science in Banking: Finding Hard Rules with Shallow Decision Trees — Arevian Pulse