ML Knowledge

What strategies do you employ to manage datasets with imbalanced classes?

Machine Learning Engineer

Electronic Arts

ClassPass

Etsy

MathWorks

EPAM Systems

McAfee

Did you come across this question in an interview?

  • What strategies do you employ to manage datasets with imbalanced classes?
  • Can you describe the methods used to address the imbalance in a dataset?
  • How would you tackle the issue of class imbalance within a dataset?
  • What techniques would you use to mitigate the effects of an imbalanced dataset?
  • How can you compensate for an imbalanced dataset in your analyses?
  • What approaches do you take when working with a dataset that has imbalanced distributions?
  • How do you rectify the challenges posed by an imbalanced dataset?
  • What measures would you take to balance an imbalanced dataset effectively?
  • How do you ensure that an imbalanced dataset does not skew your model’s performance?
  • How do you handle imbalanced dataset?
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Interview question asked to Machine Learning Engineers interviewing at Electronic Arts, EPAM Systems, Etsy and others: What strategies do you employ to manage datasets with imbalanced classes?.