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.
Go to Suggested ReplacementRandom Forest Predictor (Regression)

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

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

Output Ports

Icon
Input data along with prediction columns.

Popular Predecessors

Popular Successors

Views

This node has no views

Workflows

  • No workflows found

Links

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:

v5.3

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

Plugin provider: KNIME AG, Zurich, Switzerland
Plugin version: 5.3.0.v202401171201
On NodePit since: 2024-07-09
Last update: 2024-11-20
Tags: Deprecated
KNIME versions: Since v3.6

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!