Random Forest Predictor (Regression)

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.

Applies regression from a random forest* model by using the mean of the individual predictions.

(*) RANDOM FORESTS is a registered trademark of Minitab, LLC and is used with Minitab’s permission.

Options

Response Column Name: Name of the 1st output column. It contains the mean response of all models. A second column with the suffix "(Variance)" is appended containing the variance of all model responses.

Input Ports

: A random forest model as produced by Random Forest Learner (Regression) node.
: Data to be predicted.

Output Ports

: Input data along with prediction columns.

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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:

v5.2

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.2.0.v202310301555

On NodePit since: 2023-12-06

Last update: 2024-04-19

Tags: Deprecated

KNIME versions: Since v3.6

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