You are working with a numerical dataset that has missing values in multiple columns. You need to clean the missing data using an appropriate method that preserves the dimensionality of the feature set and allows you to analyze the complete dataset.

Solution: Use the Multiple Imputation by Chained Equations (MICE) method to replace each missing value.

Does this solution achieve the goal?