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Gradient Boosted Trees Predictor

StreamableDeprecatedDecisions Tree Ensembles for KNIME version 4.3.0.v202011191423 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 .

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

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

Output Ports

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The predicted data

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

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

KNIME 4.3

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

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Developers

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