I am currently solving one classification problem while solving the problem I found that the data set contains two variable in which there are missing values.While searching the techniques for filling the missing values, I found the techniques **multiple imputation** .

**Multiple imputation** is a statistical technique for analyzing incomplete data sets, that is, data sets for which some entries are missing. Application of the technique requires three steps: imputation, analysis and pooling.

I am not able to understand it, any help would be great