Class ConfusionMatrix

Confusion matrix of the model running the classification.

Attributes
NameDescription
Sequence[str]annotation_spec_id
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.
Sequence[str]display_name
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.
Sequence[google.cloud.automl_v1beta1.types.ClassificationEvaluationMetrics.ConfusionMatrix.Row]row
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.

Inheritance

builtins.object > proto.message.Message > ConfusionMatrix

Classes

Row

Row(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Output only. A row in the confusion matrix.