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Walk us through the basic principles of Naive Bayes algorithm. How do you determine the threshold for classification in your Naive Bayes model?

Data Scientist

Palo Alto Networks

Microsoft

Reddit

SurveyMonkey

N26

Teradata

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  • Walk us through the basic principles of Naive Bayes algorithm. How do you determine the threshold for classification in your Naive Bayes model?
  • Please describe the fundamental concepts of Naive Bayes and your criteria for threshold determination.,
  • Can you outline the core principles of Naive Bayes and how you establish a classification cut-off?
  • How would you explain the basics of the Naive Bayes algorithm, including your method for threshold selection?
  • In what way do you understand the principles of Naive Bayes and determine the classification threshold?
  • I'd like to hear about the Naive Bayes algorithm and your approach to threshold determination. Can you discuss this?
  • What are the essential elements of Naive Bayes and how do you decide on the classification threshold?
  • Can you explain the foundational aspects of the Naive Bayes algorithm and how you set the classification boundary?
  • Please expound on the Naive Bayes algorithm and your process for deciding the classification threshold.,
  • How do you approach explaining the Naive Bayes algorithm and setting the classification threshold?
  • Could you guide us through the Naive Bayes algorithm and the basis for setting its classification threshold?

Interview question asked to Data Scientists interviewing at Reddit, LendingClub, Niantic and others: Walk us through the basic principles of Naive Bayes algorithm. How do you determine the threshold for classification in your Naive Bayes model?.