Gradient Boosted Trees Predictor

This Node Is Deprecated — This version of the node has been replaced with a new and improved version. The old version is kept for backwards-compatibility, but for all new workflows we suggest to use the version linked below.

Classifies data using a Gradient Boosted Trees model. The implementation follows the algorithms described in "Greedy Function Approximation: A Gradient Boosting Machine" by Jerome H. Friedman (1999)". For more information you can also take a look at this .

Options

Change prediction column name: Check this option if you want to use a custom name for the column containing the prediction
Prediction column name: Name of the output column containing the prediction.
Append overall prediction confidence: Appends a column that contains information on how the certain the model is about its prediction.
Append individual class probabilites: Appends for each possible class a column containing the probability that the given row is an element of this class
Suffix for probability column: Allows to add a suffix for the class probability columns.

Input Ports

: Gradient Boosted Trees model as produced by the Gradient Boosted Trees Learner node.
: The data to predict

Output Ports

: The predicted data

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Installation

To use this node in KNIME, install the extension KNIME Ensemble Learning Wrappers from the below update site following our NodePit Product and Node Installation Guide:

v5.5

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.5.0.v202506011520

On NodePit since: 2025-07-02

Last update: 2025-07-21

Tags: StreamableDeprecated

KNIME versions: Since v3.6

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