Decision Tree is a simple non-parametric algorithm. It creates a model that predicts the value of the {{ isCausalPrediction() | targetRoleName}} by learning simple decision rules inferred from the data features.

These rules form a tree, with the leaves of the tree carrying the predicted value. Evaluation simply goes down the tree and evaluates the rule at each split.