Class BinaryClassificationMetrics (3.31.0)
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BinaryClassificationMetrics(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Evaluation metrics for binary classification/classifier models.

Attributes
Name	Description
`aggregate_classification_metrics`	`google.cloud.bigquery_v2.types.Model.AggregateClassificationMetrics` Aggregate classification metrics.
`binary_confusion_matrix_list`	`Sequence[google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.BinaryConfusionMatrix]` Binary confusion matrix at multiple thresholds.
`positive_label`	`str` Label representing the positive class.
`negative_label`	`str` Label representing the negative class.

Classes

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

Confusion matrix for binary classification models.

__delattr__(key)

Delete the value on the given field.

This is generally equivalent to setting a falsy value.

__eq__(other)

Return True if the messages are equal, False otherwise.

__ne__(other)

Return True if the messages are unequal, False otherwise.

__setattr__(key, value)

Set the value on the given field.

For well-known protocol buffer types which are marshalled, either the protocol buffer object or the Python equivalent is accepted.