In data workbench, decision trees are a predictive analytics visualization used to evaluate visitor characteristics and relationships. The Decision Tree Builder generates a decision tree visualization based on a specified positive case and a set of inputs.
A Decision Tree is a binary classifier with a set of rules (or filters) identifying visitors who satisfy specific rules based on a positive case. A decision tree sets rules to classify visitors who satisfy (or do not satisfy) this positive case. These rules generate a tree map to provide a level of confidence to meet these positive case results.