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H2O Binomial Scorer

DeprecatedKNIME H2O Machine Learning Integration version 4.2.0.v202006291607 by KNIME AG, Zurich, Switzerland

Scores binomial classification predictions. Note that the scoring results may differ from the results of the KNIME Scorer node. Explanation: H2O optimizes the F1 score F1=2∗(Precision∗Recall)/(Precision+Recall) to find the probability threshold, which in turn is used to determine the class of a sample (positive vs. negative).

Options

Actual column
Column with actual (ground-truth) predictions.
Target class
The target class of the selected column.
Prediction column (target class)
Column with prediction probabilities of the positive class.
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

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H2O Frame with columns to score.

Output Ports

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Accuracy statistics.
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Confusion matrix.
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Gains lift.

Views

Confusion Matrix
Confusion matrix.

Best Friends (Incoming)

Best Friends (Outgoing)

Installation

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

KNIME 4.2

A zipped version of the software site can be downloaded here. Read our FAQs to get instructions about how to install nodes from a zipped update site.

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