H2O Binomial Scorer

This Node Is Deprecated — This version of the node has been replaced with a new and improved version. The old version is kept for backwards-compatibility, but for all new workflows we suggest to use the version linked below.
Go to Suggested ReplacementH2O 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

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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.

Workflows

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Further Links

Developers

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