Metrics for a single confidence threshold.
Output only. Metrics are computed with an assumption that the model always returns at most this many predictions (ordered by their score, descendingly), but they all still need to meet the confidence_threshold.
Output only. Precision for the given confidence threshold.
Output only. The harmonic mean of recall and precision.
Output only. The precision when only considering the label that has the highest prediction score and not below the confidence threshold for each example.
Output only. The harmonic mean of [recall_at1][google.cloud.a utoml.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetric sEntry.recall_at1] and [precision_at1][google.cloud.automl.v 1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry. precision_at1].
Output only. The number of model created labels that do not match a ground truth label.
Output only. The number of labels that were not created by the model, but if they would, they would not match a ground truth label.