Learns a linear model based XGBoost model for classification. XGBoost is a popular machine learning library that is based on the ideas of boosting. Checkout the official documentation for some tutorials on how XGBoost works. Since XGBoost requires its features to be single precision floats, we automatically cast double precision values to float, which can cause problems for extreme numbers.
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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:
A zipped version of the software site can be downloaded here.
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