What role should you assign to predictor fields when building a stream with SPSS MODELER?

In the context of building a stream with SPSS Modeler, the role assigned to predictor fields is crucial for the modeling process. The correct designation for predictor fields is "Input." This classification indicates that these fields are used as independent variables to predict the outcome, which is usually represented by the target field.

The Input role is specifically designed for fields that provide information that is believed to influence or explain the target variable's behavior. When you designate a field as Input, you are communicating to the modeling algorithm that this field's values will be utilized in the prediction process, contributing to deriving insights or generating predictions about the target variable based on the relationships established during the modeling.

While the other options each represent categories of field roles in SPSS Modeler, they serve different purposes. For instance, the Target role is meant for the variable that you are trying to predict and is typically the dependent variable in a predictive model. The Candidate role refers to fields that are potential predictors but may not yet be designated for use in the model. Selecting a field does not inherently provide any predictive capability; it merely designates the field for subsequent actions and manipulations within the stream.

Overall, by assigning the Input role to predictor fields, you ensure that the model is structured