A prediction is the ultimate goal of a predictive model. In Pecan, a prediction is often tied to a specific customer. After learning from data and applying mathematical analysis, a model generates a specific numeric value representing the outcome of interest for the model builder. For example, the prediction could numerically represent the likelihood that a customer will churn or the customer’s likely lifetime value.