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Question 62

While conducting an exploratory analysis of a dataset, you discover that categorical feature A has substantial predictive power, but it is sometimes missing. What should you do?

  • A. Drop feature A if more than 15% of values are missing. Otherwise, use feature A as-is.
  • B. Compute the mode of feature A and then use it to replace the missing values in feature A.
  • C. Replace the missing values with the values of the feature with the highest Pearson correlation with feature A.
  • D. Add an additional class to categorical feature A for missing values. Create a new binary feature that indicates whether feature A is missing.

 

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