"Missing Data in Logistic Regression"

I'm curious as to how missing data values are handled by the RM LogisticRegression operator. I have reviewed the documentation and web but not found anything. If anyone knows, I would appreciate any information.

Thanks.

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land

Hi,
it cannot handle missing values. You will have to replace them beforehand using either the MissingValueReplenishment or MissingValueComputation operator.

Greetings,
Sebastian

nhaub

Thanks for the reply. It wasn't throwing an error, but I suspected this might be the case since all examples were predicted to be one outcome.

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