Median Imputation Method
What is Median Imputation?
Median Imputation replaces missing values with the median (middle value) of the non-missing values for that feature.
Advantages Over Mean
- Robust to Outliers: Not affected by extreme values
- Appropriate for Skewed Data: Better for non-normal distributions
When to Use
- Continuous data with outliers
- Skewed distributions
- When preserving central tendency is important
Related Terms
- Mean Imputation: Uses average instead
- Iterative Imputer: More sophisticated method