The input data in the model includes column ControlNo.

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But I don't want this column being part of learning process so I'm using Select Columns in Dataset to exclude ControlNo column.

But as a output I want those columns:

ControlNo, Score Label, Score Probability

So basically I need NOT to include column ControlNo into learning process, but have it as output along with Score Label column.

How can I do that?

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  • $\begingroup$ Searh for dropping a column $\endgroup$
    – Aditya
    Commented Feb 28, 2018 at 3:49

1 Answer 1


You have two options to do this, one less elegant than the other:

  1. You can drop whatever column you don't want to use and add them together after getting the scores. Though you might need to reorder columns etc.

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  1. There is a block called Edit Metadata which can be used to do what you need. Select whatever columns from the column selector you don't want to use and use the option Fields > Clear Feature from the block properties. These columns won't be used in the calculations but will be present when you visualise the Score Model output together with the rest of the columns and the scores. Moreover, columns in that output statistics will be labelled as Feature type if they were used in the calculations. So you straightaway know which columns were actually used in the calculations or not. Block help is quite useful here.

Edit Metadata Block

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  • $\begingroup$ How do you reorder columns in MLS? $\endgroup$
    – Mike
    Commented May 19, 2019 at 16:16
  • $\begingroup$ You can use a Select Columns in Dataset block. If you use the option include the column names, there is a tick above that says Allow duplicates and preserve column order in selection that will keep the order of the columns you include. $\endgroup$
    – TitoOrt
    Commented May 20, 2019 at 7:22

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