What is accomplished in Step 1 of the predictive model creation wizard?

In Step 1 of the predictive model creation wizard, the primary focus is on identifying the specific decision that requires a predictive model. This understanding is crucial as it sets the direction for the entire modeling process. By clearly defining the decision, practitioners can better understand the context and goals of the predictive modeling effort. This step involves recognizing the business problem that needs to be addressed and determining the outcome that the model will aim to predict. Identifying the decision lays the groundwork for selecting appropriate data, setting performance metrics, and determining the necessary analysis techniques for developing an effective predictive model.

The other options, while relevant to aspects of model development, do not specifically pertain to the initial focus of Step 1. Preparing data and developing relationships occurs later in the process once the decision has been identified. Analyzing the performance of existing models typically takes place after model creation to validate and compare the effectiveness of new models. Exporting model configurations is related to the deployment of the model and is not part of the early stages of model creation.