ConfusionMatrix(mapping=None, *, ignore_unknown_fields=False, **kwargs)Confusion matrix of the model running the classification.
Attributes |
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|---|---|
| Name | Description |
annotation_spec_id |
MutableSequence[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 |
MutableSequence[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 |
MutableSequence[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.
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Classes
Row
Row(mapping=None, *, ignore_unknown_fields=False, **kwargs)Output only. A row in the confusion matrix.