Which concept in SPSS Modeler refers to the operations applied to data?

In SPSS Modeler, the term that refers to the operations applied to data is nodes. Each node represents a specific function or operation, such as data processing, transformation, or modeling. When constructing a predictive analytics workflow, users connect these nodes to create a stream that outlines the entire process of data handling, from input to output.

Nodes can perform a variety of tasks including data cleansing, filtering, and applying statistical algorithms. By incorporating different types of nodes, users can customize their analysis and ensure that the data is prepared and analyzed according to their specific needs. This flexibility is crucial when building robust models that accurately reflect the underlying patterns in the data.

In contrast, streams are the overall structures that connect various nodes in a workflow, while a queue typically refers to a temporary holding place for data during processing. Models, on the other hand, are the outcomes or predictions generated from the operations applied by the nodes. Understanding the role of nodes is fundamental for effectively using SPSS Modeler in predictive analytics.