TextExtractionEvaluationMetrics

Metrics for text extraction evaluation results.

Fields
confidenceMetrics[] object (ConfidenceMetrics)

Metrics that have confidence thresholds. Precision-recall curve can be derived from them.

confusionMatrix object (ConfusionMatrix)

Confusion matrix of the evaluation. Only set for Models where number of AnnotationSpecs is no more than 10. Only set for ModelEvaluations, not for ModelEvaluationSlices.

JSON representation 
{
  "confidenceMetrics": [
    {
      object (ConfidenceMetrics)
    }
  ],
  "confusionMatrix": {
    object (ConfusionMatrix)
  }
}

ConfidenceMetrics

Fields
confidenceThreshold number

Metrics are computed with an assumption that the Model never returns predictions with score lower than this value.

recall number

Recall (True Positive Rate) for the given confidence threshold.

precision number

Precision for the given confidence threshold.

f1Score number

The harmonic mean of recall and precision.

JSON representation 
{
  "confidenceThreshold": number,
  "recall": number,
  "precision": number,
  "f1Score": number
}