BinaryConfusionMatrix(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Confusion matrix for binary classification models.
Attributes |
|
---|---|
Name | Description |
positive_class_threshold |
google.protobuf.wrappers_pb2.DoubleValue
Threshold value used when computing each of the following metric. |
true_positives |
google.protobuf.wrappers_pb2.Int64Value
Number of true samples predicted as true. |
false_positives |
google.protobuf.wrappers_pb2.Int64Value
Number of false samples predicted as true. |
true_negatives |
google.protobuf.wrappers_pb2.Int64Value
Number of true samples predicted as false. |
false_negatives |
google.protobuf.wrappers_pb2.Int64Value
Number of false samples predicted as false. |
precision |
google.protobuf.wrappers_pb2.DoubleValue
The fraction of actual positive predictions that had positive actual labels. |
recall |
google.protobuf.wrappers_pb2.DoubleValue
The fraction of actual positive labels that were given a positive prediction. |
f1_score |
google.protobuf.wrappers_pb2.DoubleValue
The equally weighted average of recall and precision. |
accuracy |
google.protobuf.wrappers_pb2.DoubleValue
The fraction of predictions given the correct label. |