Class BinaryClassificationMetrics (2.24.1)

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.

builtins.object > proto.message.Message > BinaryClassificationMetrics

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

Confusion matrix for binary classification models. .. attribute:: positive_class_threshold

Threshold value used when computing each of the following metric.

:type: google.protobuf.wrappers_pb2.DoubleValue

__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.