Package org.tribuo.anomaly.evaluation

Interface AnomalyEvaluation

All Superinterfaces:
Evaluation<Event>, com.oracle.labs.mlrg.olcut.provenance.Provenancable<EvaluationProvenance>
public interface AnomalyEvaluation extends Evaluation<Event>
An Evaluation for anomaly detection Events.

  • Method Summary

    Modifier and Type
    Method
    Description
    String
    confusionString()
    Returns a confusion matrix formatted String for display.
    double
    getF1()
    Returns the F_1 score of the anomalous events, i.e., the harmonic mean of the precision and the recall.
    long
    getFalseNegatives()
    Returns the number of false negatives, i.e., anomalous events classified as expected.
    long
    getFalsePositives()
    Returns the number of false positives, i.e., expected events classified as anomalous.
    double
    getPrecision()
    Returns the precision of the anomalous events, i.e., true positives divided by the number of predicted positives.
    double
    getRecall()
    Returns the recall of the anomalous events, i.e., true positives divided by the number of positives.
    long
    getTrueNegatives()
    Returns the number of true negatives, i.e., expected events classified as events.
    long
    getTruePositives()
    Returns the number of true positives, i.e., anomalous events classified as anomalous.

    Methods inherited from interface org.tribuo.evaluation.Evaluation

    asMap, get, getPredictions

    Methods inherited from interface com.oracle.labs.mlrg.olcut.provenance.Provenancable

    getProvenance

  • Method Details

    • getFalsePositives

      long getFalsePositives()
      Returns the number of false positives, i.e., expected events classified as anomalous.
      Returns:
      The number of false positives.

    • getTruePositives

      long getTruePositives()
      Returns the number of true positives, i.e., anomalous events classified as anomalous.
      Returns:
      The number of true positives.

    • getTrueNegatives

      long getTrueNegatives()
      Returns the number of true negatives, i.e., expected events classified as events.
      Returns:
      The number of true negatives.

    • getFalseNegatives

      long getFalseNegatives()
      Returns the number of false negatives, i.e., anomalous events classified as expected.

      These are the ones you don't want.

      Returns:
      The number of false negatives.

    • getPrecision

      double getPrecision()
      Returns the precision of the anomalous events, i.e., true positives divided by the number of predicted positives.
      Returns:
      The precision.

    • getRecall

      double getRecall()
      Returns the recall of the anomalous events, i.e., true positives divided by the number of positives.
      Returns:
      The recall.

    • getF1

      double getF1()
      Returns the F_1 score of the anomalous events, i.e., the harmonic mean of the precision and the recall.
      Returns:
      The F_1 score.

    • confusionString

      String confusionString()
      Returns a confusion matrix formatted String for display.
      Returns:
      The confusion matrix in a String.