The Uplift Tree Learner node is capable of building decision trees for uplift modeling by using a specific split criterion. To do so, the node needs two classification columns, a contact group column and a target group column. Both columns must be binary to be accepted by this node. In the contact group column a flag indicates if for example a customer was a member of the control group or not. Similar to this the flag in the target column group logs the reaction of the customer to a specific treatment. It is good practice to use 0 and 1 as flags, in which 1 represents a customer that is member of the control group or has responded to a treatment in the target group column respectively.
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