Which node type would you typically use for predictive modeling in SPSS Modeler?

The Modeling Node is used for predictive modeling in SPSS Modeler because it is specifically designed to build and evaluate predictive models based on the data inputs it receives. This node supports various algorithms, such as regression, decision trees, neural networks, and more, allowing users to select the most appropriate method for their predictive task. Once the model is created, it can incorporate both training and validation data to assess accuracy and performance, making it an essential component in the predictive analytics workflow.

In contrast, the Export Node is primarily used for saving or exporting data rather than for modeling. The Graph Node is utilized for visualizing data and model outputs but does not engage in the modeling process itself. The Record Operation Node is focused on manipulating data at a record level and is not involved in developing predictive models. Therefore, the Modeling Node is the most relevant and crucial for creating predictive analytics within SPSS Modeler.