Is it possible to create indicator variables (for each input) for missing values without actually imputing in Model Studio?
Yes, add Imputation node to the pipeline, change the following properties and run the node.
You will see that there is a new variable (with M_ prefix) for every input that has a missing value in the training data. This new variable takes 0 or 1 values to indicate missingness (0=not missing, 1=missing).
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