Regression is similar to classification except for the
type of the predicted value. Classification predicts a class label,
regression predicts a numeric value. Regression also can determine
the input fields that are most relevant to predict the target field
values. The predicted value might not be identical to any value contained
in the data that is used to build the model. An example application
is customer ranking by expected profit.
When a model is applied, Intelligent Miner® assigns
a predicted value to each customer being scored.