This document discusses different types of models used to predict customer behavior and make business decisions. Generic models use broad customer data to predict outcomes, while custom models are tailored to a specific company's portfolio. The document compares the two approaches and provides an example of validating a custom model's ability to accurately predict which accounts will become delinquent. It also demonstrates how a model can be used to maximize profits by adjusting credit limits or requiring deposits based on risk scores.