Class ConfusionMatrix (2.7.3)

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

Confusion matrix of the model running the classification.

Attributes

Name	Description
`annotation_spec_id`	`Sequence[str]` 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.
`display_name`	`Sequence[str]` 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.
`row`	`Sequence[google.cloud.automl_v1beta1.types.ClassificationEvaluationMetrics.ConfusionMatrix.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.

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

Output only. A row in the confusion matrix.