What is the first step in the Model analysis process?

The first step in the Model analysis process is source selection. This initial step involves determining the appropriate data sources that will be used to build and evaluate predictive models. Selecting the right data is crucial, as it directly impacts the performance and reliability of the models being analyzed. The choice of data can influence the variables included in the model, the overall outcomes, and the insight generated from the analysis.

Following the selection of sources, subsequent steps may involve predictor grouping, score comparison, and score distribution, but these activities build on the foundational step of identifying and selecting the appropriate data sources first. This sets the stage for meaningful analysis and ensures that the model's results will be based on relevant and high-quality information.