Decision List Overview

A decision rule is an if-then rule, which has two parts: antecedent and consequent. The antecedent is a Boolean expression of predictors, and the consequent is the predicted value of the target field when the antecedent is true. The simplest construct of a decision rule is a segment based on one predictor, such as a categorical predictor taking on a specific value or a scale predictor having a value within a specific range.

A record is covered by a rule if the rule antecedent is true. If a case is covered by one of the

rules in a decision list, then it is said to be covered by the list.

In a decision list, order of rules is significant; if a case is covered by a rule, it will be ignored

In deriving subsequent rules and in scoring using the decision list.

Next steps

Like your visualization? Why not deploy it? For more information, see Deploy a model.