How is model-based method different from the other two imputation methods?
- It deletes missing data
- It estimates missing values based on a statistical model
- It is not different from the others
- It uses the mode value for imputation
The model-based method is different from the other imputation methods as it estimates missing values based on a statistical model. This method assumes a specific statistical model (like a linear regression, logistic regression, etc.) that generates the data, and missing values are filled in based on this model.
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