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. |
Inheritance
builtins.object > proto.message.Message > BinaryClassificationMetricsClasses
BinaryConfusionMatrix
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
Methods
__delattr__
__delattr__(key)
Delete the value on the given field.
This is generally equivalent to setting a falsy value.
__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
__setattr__
__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.