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

Popular Predecessors

Popular Successors

Views

This node has no views

Workflows

Developers

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.

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:

v4.6

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 4.6.0.v202206021022

On NodePit since: 2022-06-11

Last update: 2022-06-24

Tags: StreamableDeprecated

KNIME versions: Since v3.6