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Uplift Tree Predictor

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.

Options

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.

Popular Predecessors

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Workflows

2019_01_14_DYMATRIX Uplift ModelingKNIME Hub

Developers

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Installation

To use this node in KNIME, install the extension DYMATRIX Uplift Modeling Extensions from the below update site following our NodePit Product and Node Installation Guide:

v4.7

A zipped version of the software site can be downloaded here.

Plugin provider: 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.

Plugin version: 0.6.101.qualifier

On NodePit since: 2022-12-06

Last update: 2026-02-12

KNIME versions: From v3.6 to v4.7

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