Confusion matrix of the model running the classification.
Output only. IDs of the annotation specs used in the confusion matrix. For Tables CLASSIFICATION prediction_type only list of [annotation_spec_display_name-s] is populated.
Output only. Display name of the annotation specs used in the confusion matrix, as they were at the moment of the evaluation. For Tables CLASSIFICATION prediction_type-s, distinct values of the target column at the moment of the model evaluation are populated here.
Output only. Rows in the confusion matrix. The number of rows is equal to the size of ``annotation_spec_id``. ``row[i].example_count[j]`` is the number of examples that have ground truth of the ``annotation_spec_id[i]`` and are predicted as ``annotation_spec_id[j]`` by the model being evaluated.
Inheritancebuiltins.object > proto.message.Message > ConfusionMatrix
Row(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Output only. A row in the confusion matrix.