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Machine-learning fundamentalsDiscussion roundFoundational~12 min

Evidence-Based Model Selection

A fundamentals round. The interviewer cares about how you reason from data and errors, not whether you can list algorithms.

The questions in this round

  1. You have a binary classifier with rare positive cases. How do you choose a baseline and evaluate it?

  2. Training performance is strong and validation performance is weak. What do you investigate first?