Problem
What are the trade-offs between a highly interpretable model like a decision tree and a more complex model like a gradient-boosted tree in an insurance context?
Practicing as: Data Scientist interview at MetLifeHi, I'll play your MetLife interviewer for the Data Scientist role. Candidates describe these interviews as mostly positive and moderately difficult, so expect me to be friendly and conversational. Take your time with the question above and answer like we're in the room.
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