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Related Questions
- What metrics can be used to evaluate the performance of an imputation strategy, such as mean squared error or mean absolute error?
- How can you compare the performance of different imputation strategies, such as mean imputation or regression imputation?
- What are some common pitfalls to watch out for when evaluating the effectiveness of an imputation strategy?
- How can you determine the optimal number of imputed values to use in a machine learning pipeline?
- What role does data distribution play in the effectiveness of an imputation strategy?
- Can you explain the concept of 'imputation bias' and how it can impact the performance of a machine learning model?
- How can you use techniques such as cross-validation to evaluate the robustness of an imputation strategy?
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