H2O Binomial Scorer

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

: H2O Frame with actual class column and the two predicted probability columns.

Output Ports

: The confusion matrix.
: The accuracy statistics table.
: The gains lift.

Views

Confusion Matrix: Displays the confusion matrix in a table view.

Workflows

Developers

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Installation

To use this node in KNIME, install the extension KNIME H2O Machine Learning Integration from the below update site following our NodePit Product and Node Installation Guide:

v5.4

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.4.0.v202407231410

On NodePit since: 2024-12-06

Last update: 2024-12-17

KNIME versions: Since v4.0

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