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).

Input ports

1. Type: H2O Frame
   H2O Frame to score.
   H2O Frame with actual class column and the two predicted probability columns.

Output ports

1. Type: Table
   Confusion matrix
   The confusion matrix.
2. Type: Table
   Accuracy statistics
   The accuracy statistics table.
3. Type: Table
   Gains lift
   The gains lift.