ML Knowledge

How do you use cross-validation to evaluate the performance of a machine learning model?

Data Scientist

Apple

Meta

Spotify

Asana

Boeing

Dell

Did you come across this question in an interview?

  • How do you use cross-validation to evaluate the performance of a machine learning model?
  • Are you familiar with the technique of cross-validation, which allows you to assess the effectiveness of a machine learning model?
  • To gauge the effectiveness of a machine learning model, have you heard of using cross-validation?
  • Could you explain how cross-validation is used to assess the performance of a machine learning model?
  • The practice of cross-validation can help to determine the efficiency of a machine learning model. Are you familiar with this approach?
  • Have you worked with cross-validation before, which is a method for evaluating the performance of a machine learning model?
  • I'm interested in your experience using cross-validation to assess the effectiveness of a machine learning model.
  • Can you discuss how cross-validation is used to evaluate the performance of a machine learning model?
  • Cross-validation is a common technique for evaluating machine learning models. Have you used this strategy before?
  • Do you understand how cross-validation is used to measure the accuracy of a machine learning model?

Interview question asked to Data Scientists interviewing at Meta, Boeing, Zenefits and others: How do you use cross-validation to evaluate the performance of a machine learning model?.