Regression 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.

Predicts the response using a regression model. The node needs to be connected to a regression node model* and some test data. It is only executable if the test data contains the columns that are used by the learner model. This node appends a new columns to the input table containing the prediction for each row.

*You can use nodes like the linear regression, polynomial regression and the logistic regression node to create regression models.

Options

Append columns with predicted probabilities: This has only an effect for target columns with nominal data. The number of appended columns is equal to the number of categories of the target column. They represent the probability that a row in the input data falls in a specific category.

Input Ports

: The regression model
: Table for prediction. Missing values will give missing values in the output.

Output Ports

: Table from input with an additional prediction column.

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Installation

To use this node in KNIME, install the extension KNIME Base nodes from the below update site following our NodePit Product and Node Installation Guide:

v5.4

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.4.0.v202412040959

On NodePit since: 2024-12-06

Last update: 2024-12-17

Tags: Deprecated

KNIME versions: Since v3.6

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