Databricks Certified Machine Learning - Associate
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Compare and contrast the use of mean imputation and median imputation for handling missing values in numerical data. Discuss the potential impacts on the distribution of the data and the performance of the model.
A
Mean imputation preserves the mean of the distribution but can distort the variance.
B
Median imputation preserves the median of the distribution but can distort the mean.
C
Both methods preserve the original distribution and have similar impacts on model performance.
D
Mean imputation is always superior to median imputation in terms of preserving the original distribution.