Problem
Scenario
You are reviewing a binary classification model that predicts which customers are likely to churn. The team wants a clear framework for judging whether the model is good enough to use in retention campaigns.
Question
What metrics would you use to evaluate a churn model?
What This Tests
- Choosing evaluation metrics for an imbalanced churn problem
- Explaining precision and recall tradeoffs
- Using AUC-ROC for ranking quality
- Connecting threshold tuning to business cost
ePracticing as: Data Scientist interview at eXalt
Hi, I'll play your eXalt interviewer for the Data Scientist role. Candidates describe these interviews as often stressful and moderately difficult, so expect me to be direct and to the point. Take your time with the question above and answer like we're in the room.
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