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.

Views

Confusion Matrix

Confusion matrix.

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