You are building a stream with SPSS MODELER. The bottom of the Table output window shows many records with all $null$ values. How can you eliminate these records from your model?

Study for the Predictive Analytics Modeler Explorer Test with multiple-choice questions, hints, and explanations. Prepare confidently for your certification exam!

The most effective method to eliminate records with all null values from your model is to generate a Select node with the condition that "data_known="yes". This works because the Select node allows for filtering data based on specified criteria. When you set the condition to include only records where the variable data_known is equal to "yes", you effectively filter out any records that do not meet this requirement, which in the context of null values means that only those records with complete data will remain.

In this scenario, choosing to set up a Select node is particularly useful as it not only helps in filtering but also keeps the data selection process dynamic and organized within the stream. This makes it easier to manage your data throughout the modeling process since it allows for a clear distinction between the acceptable data and the records that do not contribute meaningfully to your analysis.

The other methods may either not effectively remove the null values or may not apply the necessary filtering with the same precision and clarity. Thus, generating a Select node with the correct criteria is the most appropriate approach to achieve your goal.

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