Use Azure: Clean Missing Data, SQL Transformation and Compute Median

This article solves the following challenge: 

Replace missing value with median of attribute for the corresponding class

First take the dataset and apply several (for each class label) SQL Transformations:

select * from t1 where label = "ATTRIBUTE";

Then Compute the median for the resulting dataset for each class label seperatly and use this computed median as the paramater for "clean missing data". Then add all rows back together, as they were all split by the SQL Transformation.
Finally run your cross validation on the dataset and review the result.
Please review the attached file on how to structure your model in azure for this strategy.


solution using azure

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