In a deployment stream within SPSS MODELER, which node should be copied from the modeling stream to the deployment dataset?

In a deployment stream within SPSS Modeler, the nugget is the correct choice to be copied from the modeling stream to the deployment dataset. A nugget represents the trained model or the output from a modeling process. It contains the information necessary for making predictions or classifications based on the data that passes through it. When deploying a model, it is essential to include the nugget because it holds all the parameters and patterns learned during the training phase. This allows the deployment stream to apply the model to new data effectively.

The other options, although relevant in their contexts, do not serve the same purpose as a nugget. A filter is used for data preprocessing and does not provide predictive capabilities after deployment. A table generally represents data within the flow but does not include the model’s predictive logic. A source is the point where data is introduced into the stream, but like the filter and table, it does not carry the model information needed for predictions. Thus, including the nugget ensures that the deployment stream can apply the trained model to new incoming data accurately.