Data for machine learning · Question 16 of 60
Which techniques are typically used to fill in missing values during data cleaning (imputation)?
1 answer is correct. Easy
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Answer
- A Mean, median or mode
Explanation
Gaps in a dataset are filled, for example, with the mean, the median or the most frequent value of the column. This is part of cleaning during preprocessing, just like removing errors, duplicates and outliers and anonymizing personal data.