Decisions supported by machine learning algorithms often have the goal of improving (and thus affecting) an outcome by means of an intervention. Common examples include influencing someone's purchasing behavior with an advertisement or increasing customer retention with a special offer....

The goal of causal classification is to identify individuals whose outcome would be positively changed by a treatment. Examples include targeting advertisements and targeting retention incentives to reduce churn. Causal classification is challenging because we observe individuals under only one...