Question 127 of 280
Single answerWhile performing exploratory data analysis on a dataset, you find that an important categorical feature has 5% null values. You want to minimize the bias that could result from the missing values. How should you handle the missing values?
ARemove the rows with missing values, and upsample your dataset by 5%.
BReplace the missing values with the feature’s mean.
✓CReplace the missing values with a placeholder category indicating a missing value.
DMove the rows with missing values to your validation dataset.
✓
Correct Answer: C
Replace the missing values with a placeholder category indicating a missing value.
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Explanation
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