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Related Questions
- What are the key differences between mean and median imputation for numerical data?
- How does the choice of imputation method impact the accuracy of regression models with categorical data?
- What are the advantages and disadvantages of using hot deck imputation for categorical data?
- Can you explain the concept of multiple imputation and how it can be used for both numerical and categorical data?
- How does the type of missing data (MCAR, MAR, or MNAR) affect the choice of imputation method?
- What are some common imputation methods for numerical data, such as mean, median, and regression imputation?
- How can imputation methods be evaluated and compared for categorical data, such as using metrics like accuracy and precision?
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