In the context of handling missing data, what does 'imputation' mean?
- Adding artificial data
- Deleting data points
- Filling in missing data with substituted values
- Transforming data
In the context of handling missing data, 'imputation' refers to the process of filling in missing data with substituted values. These values can be determined in a variety of ways such as using measures of central tendency (mean, median, mode), predictive models, or other techniques.
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