Diagnose and fix flawed model fit
Company: Google
Role: Data Scientist
Category: Machine Learning
Difficulty: hard
Interview Round: Technical Screen
Overview: This question evaluates a data scientist's competency in applied supervised learning diagnostics, including feature encoding, feature scaling, class imbalance mitigation, evaluation metric selection, calibration, and fairness-aware objective design.
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