ML Knowledge

Provide examples of real-world scenarios where overfitting and underfitting might occur, and explain the consequences of each for model performance and accuracy

Also asked as "What are some of the real-world scenarios where overfitting or underfitting can be problematic for model performance and accuracy? Can you share some examples?"

Was asked at

Practice this question with AI

First session is free - no credit card required.

Go Premium

More interviews, more skills, more success.

Community Answers

1 answer from the community

Unlock Full Access

Answer any un-answered question from our database to unlock all community answers for 30 days.

Give & Take

Practice More Questions

1 answer published. Last candidate submission on May 21 2026, 11:14pm PDT. Interview question asked to Data Scientists interviewing at Mozilla, Bloomberg, Juniper Networks and other companies. Original question asked: Provide examples of real-world scenarios where overfitting and underfitting might occur, and explain the consequences of each for model performance and accuracy. Question last reported by a candidate interviewing at Huawei for a Data Scientist interview on Sep 30 2025, 1:35am PDT.