Class BinaryClassificationMetrics (3.25.0)

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

Evaluation metrics for binary classification/classifier models.


Name Description
Aggregate classification metrics.
binary_confusion_matrix_list Sequence[]
Binary confusion matrix at multiple thresholds.
positive_label str
Label representing the positive class.
negative_label str
Label representing the negative class.



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

Confusion matrix for binary classification models.




Delete the value on the given field.

This is generally equivalent to setting a falsy value.



Return True if the messages are equal, False otherwise.



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.