@harry wrote:
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
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