How do I approach Machine Learning interview questions?

Machine Learning questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master machine learning interviews.

What difficulty level is this interview question?

This is a easy difficulty Machine Learning question, commonly asked during Technical Screen rounds at LinkedIn.

What role is this question designed for?

This question is commonly asked for Machine Learning Engineer candidates at LinkedIn during technical interviews.

Explain overfitting vs underfitting and fixes

Last updated: Mar 29, 2026

Quick Overview

This question evaluates understanding of model generalization in supervised machine learning, focusing on the concepts of overfitting and underfitting and their effects on predictive performance.

|Home/Machine Learning/LinkedIn

Explain overfitting vs underfitting and fixes

Feb 8, 2026, 12:00 AM

easyMachine Learning EngineerTechnical ScreenMachine Learning

Question

What are overfitting and underfitting ?
How can you diagnose each using training/validation metrics?
What are common mitigations for each?

Assume a supervised learning setting (classification or regression).

Loading comments...

Browse More Questions

More Machine Learning•More LinkedIn•More Machine Learning Engineer•LinkedIn Machine Learning Engineer•LinkedIn Machine Learning•Machine Learning Engineer Machine Learning

Write your answer

Your first approved answer each day earns 20 XP.