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Gradient Boosted Trees Predictor

StreamableDeprecatedDecisions Tree Ensembles for KNIME version 4.4.0.v202106251355 by KNIME AG, Zurich, Switzerland

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 .


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

Best Friends (Incoming)

Best Friends (Outgoing)



To use this node in KNIME, install KNIME Ensemble Learning Wrappers from the following update site:


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

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