H2O Binomial Scorer

Other

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 actual class column and the two predicted probability columns.

Output Ports

  1. Type: Data
    The confusion matrix.
  2. Type: Data
    The accuracy statistics table.
  3. Type: Data
    The gains lift.

Extension

This node is part of the extension

KNIME H2O Machine Learning Integration

v4.0.0

Short Link

Drag node into KNIME Analytics Platform