Using a classification model for imputation is not possible, as classification models require complete data to make predictions.

Using a classification model for imputation is the best approach, as it can handle any type of missing data mechanism and provide accurate predictions.

Using a classification model for imputation is only useful for categorical features with a small number of unique values, and may not work well for features with a large number of categories.