Note that only binary classification is supported. The target column must be nominal (with two distinct values), whereas the feature columns can be either nominal or numerical.
Use the Spark Predictor (Classification) node to apply the learned model to unseen data.
Please refer to the Spark documentation for a full description of the underlying algorithm.
This node requires at least Apache Spark 2.0.
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To use this node in KNIME, install the extension KNIME Extension for Apache Spark (legacy) 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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