What occurs in Step 2 of the predictive model creation wizard?

In Step 2 of the predictive model creation wizard, the focus is on preparing the data and developing relationships between predictors. This step is crucial as it involves analyzing the input data to identify which variables (or predictors) will be most relevant for the predictive model. During this phase, statisticians and data scientists prepare the dataset for analysis, which may include cleaning the data, handling missing values, or transforming variables to better meet the assumptions of the predictive modeling techniques.

By establishing relationships between the predictors, this step lays the foundation for understanding how different variables interact and influence the outcome, which is essential for constructing an accurate and reliable predictive model in subsequent steps. This preparation helps ensure that the model gives meaningful predictions that can inform decision-making processes in a business context.