ML Knowledge
How do you manage the challenge of skewed data when evaluating the effectiveness of a model, and which metrics do you rely on?
Was asked at
Practice this question with AI
Go Premium
More interviews, more skills, more success.
Practice More Questions
No answers yet
Be the first to share your approach to this question
Master Data Science Interviews
Proven frameworks that actually work
The frameworks completely changed my game. I went from stumbling through case studies to structuring perfect answers every time.
— Michael R., Data Scientist at Fortune 100
Proven frameworks for analytics, ML, and A/B testing
See what makes answers "adequate" vs "great"
Real case analysis from actual interviews
Master storytelling and executive presence
Interview question asked to Machine Learning Engineers and Data Scientists interviewing at HelloFresh, Sprout Social, Cure.Fit and others: How do you manage the challenge of skewed data when evaluating the effectiveness of a model, and which metrics do you rely on?.