Class BinaryClassificationMetrics (2.6.2)

Version 2.6.2

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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	`.gcb_model.Model.AggregateClassificationMetrics` Aggregate classification metrics.
binary_confusion_matrix_list	Sequence[`.gcb_model.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 > BinaryClassificationMetrics

Classes

BinaryConfusionMatrix

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

Confusion matrix for binary classification models.

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.