Confusion matrix of the model running the classification.
Attributes
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_v1.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.