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.
References