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 with columns to score.

Output Ports

  1. Type: Data Accuracy statistics.
  2. Type: Data Confusion matrix.
  3. Type: Data Gains lift.

Find here

KNIME Labs > H2O Machine Learning > Scoring

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