Interface MultiLabelEvaluation

All Superinterfaces:

ClassifierEvaluation<MultiLabel>, Evaluation<MultiLabel>, com.oracle.labs.mlrg.olcut.provenance.Provenancable<EvaluationProvenance>

All Known Implementing Classes:

MultiLabelEvaluationImpl

public interface MultiLabelEvaluation
extends ClassifierEvaluation<MultiLabel>

A MultiLabel specific ClassifierEvaluation.

Used to hold multi-label specific evaluation metrics.

Method Summary

Modifier and Type	Method	Description
double	jaccardScore()	The average across the predictions of the intersection of the true and predicted labels divided by the union of the true and predicted labels.

Methods inherited from interface org.tribuo.classification.evaluation.ClassifierEvaluation

balancedErrorRate, confusion, f1, fn, fn, fp, fp, getConfusionMatrix, macroAveragedF1, macroAveragedPrecision, macroAveragedRecall, macroFN, macroFP, macroTN, macroTP, microAveragedF1, microAveragedPrecision, microAveragedRecall, precision, recall, tn, tn, tp, tp

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

jaccardScore

double jaccardScore()

The average across the predictions of the intersection of the true and predicted labels divided by the union of the true and predicted labels.

Returns:

The Jaccard score.