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H2O Multinomial Scorer

DeprecatedKNIME H2O Machine Learning Integration version 4.3.3.v202105242123 by KNIME AG, Zurich, Switzerland

Scores multinomial classification predictions.


Actual column
Column with actual (ground-truth) predictions.
Column Selection
Columns with per class probabilities. Must be as many as domain of target column used for training. Each column name must contain a string that exactly matches its corresponding class (the output columns of the H2O Predictor (Classification) node satisfy this constraint).
Output scores as flow variables
Activate to receive all scores as flow variables
Prefix of flow variables
The scores (i.e. accuracy, error rate, number of correct and wrong classification) can be exported as flow variables with a hard coded name. This option allows you to define a prefix for these variable identifiers so that name conflicts are resolved.

Input Ports

H2O Frame with columns to score.

Output Ports

Accuracy statistics.
Confusion matrix.


Confusion Matrix
Confusion matrix.

Best Friends (Incoming)

Best Friends (Outgoing)


To use this node in KNIME, install KNIME H2O Machine Learning Integration from the following update site:


A zipped version of the software site can be downloaded here.

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