XGBoost Predictor (Regression)

Applies a regression XGBoost model to predict data.

Options

Change prediction column name: Select if you want to specify a custom name for the prediction column. Otherwise a default column name based on the target column is used.
Prediction column name: The name of the prediction column.
Handle unknown categorical features as missing features: If checked, unknown categorical features are treated as if they were missing values. Otherwise the node will just fail. A value is considered to be unknown if it was not among the values encountered during model training in the Learner node.
Batch size: Controls the number of rows to predict together. Larger values tend to improve performance while also increasing the memory demand of the node.

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To use this node in KNIME, install the extension KNIME XGBoost Integration 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: Streamable

KNIME versions: Since v3.7

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