Databricks Certified Machine Learning - Associate
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Under what circumstances is replacing missing values with the mode value considered an appropriate method for handling missing data? Discuss the limitations of this approach and when it might not be suitable.
A
When the data is normally distributed and the missingness is random.
B
When the data is categorical and the mode represents the most frequent category.
C
When the data is numerical and the mode is a good representation of the central tendency.
D
When the data is skewed and the mode is a good representation of the central tendency.