Problem
Scenario
You're training supervised learning models and notice that training performance keeps improving while validation performance stalls or drops.
Question
How do you approach the problem of overfitting in machine learning?
What This Tests
- Diagnosing overfitting from train versus validation behavior
- Using regularization to control model complexity
- Choosing cross-validation schemes correctly
- Tuning hyperparameters without leaking test information
Practicing as: Machine Learning Engineer interview at ReplyHi, I'll play your Reply interviewer for the Machine Learning Engineer role. Candidates describe these interviews as mostly positive and on the easier side, 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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