0 ×

Uplift Tree Predictor

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 info@dymatrix.de.

The Uplift Tree Predictor Node calculates the uplift for a given data set. It requires the user to specify the flag values for control group membership and target group response respectively.


Control group column flag
Flag values used to mark members of the control group.
Target group column flag
Flag values used to mark customers that have responded to a treatment.

Input Ports

A previously learned Uplift Tree model.
Data set to apply the Uplift Tree model.

Output Ports

Data with predicted uplift values.

Best Friends (Incoming)

Best Friends (Outgoing)


To use this node in KNIME, install DYMATRIX Uplift Modeling Extensions from the following update site:

Wait a sec! You want to explore and install nodes even faster? We highly recommend our NodePit for KNIME extension for your KNIME Analytics Platform.


You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.