DYMATRIX Uplift Modeling Extensions version 0.6.100.v201912051245 by DYMATRIX CONSULTING GROUP GmbH. More commercial Customer Intelligence Extensions are available like the Interactive Scorecard Builder, PMML2SQL Converter and Interactive Binning Nodes. For more information please refer to www.dymatrix.de or write an Email to firstname.lastname@example.org.
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.
To use this node in KNIME, install DYMATRIX Uplift Modeling Extensions from the following update site:
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