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Regression Predictor

DeprecatedKNIME Base Nodes version 3.7.0.v201812031623 by KNIME AG, Zurich, Switzerland

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.

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Update Site

To use this node in KNIME, install KNIME Base Nodes from the following update site:

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