PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #138
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #138: Real Exam Question with Answer & Explanation
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Question
While 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?
Options
- 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.
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