The PMML Ensemble Predictor node takes a pmml document containing an ensemble of other models and executes all of them on the given data. The results from all models is then aggregated using a method specified in the ensemble model. The output contains a column for each prediction of the single models (if set in the settings) and one column with the combined result.
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To use this node in KNIME, install the extension KNIME Ensemble Learning Wrappers 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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