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Logistic Regression

  • Q. What is Logistic Regression?
  • Q. What are the assumptions of logistic regression?
  • Q. What are the advantages and disadvantages of logistic regression?
  • Q. What is the error / loss function in logistic regression?
  • Q. How are the coefficients in a logistic expression interpreted?
  • Q. What is the equivalent of the overall F test in logistic regression?
  • Q. Why are coefficients estimated through Maximum Likelihood (MLE) instead of Least Squares?
  • Q. What is the relationship between the log odds ratio and probability?
  • Q. Why are the log odds used in the link function instead of just the regular odds ratio?
  • Q. What problems would arise from using a regular linear regression to model a binary outcome?
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Other Questions in Logistic Regression
  • What happens if a category has a zero frequency within a class, and how is this issue commonly addressed (Naive Bayes)?
  • How Does Naive Bayes Work?
  • What is the difference between QDA and Gaussian Mixture Models (GMM)?
  • Top 50 Supervised Learning Interview Questions with detailed Answers (All free)
  • What is overdispersion in Poisson Regression, and what are alternate specifications for when it is present?
  • What is Gamma Regression?
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