Class Metrics (2.9.1)

Version 2.9.1

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

Evaluation metrics, either in aggregate or about a specific entity.

Attributes
Name	Description
precision	float The calculated precision.
recall	float The calculated recall.
f1_score	float The calculated f1 score.
predicted_occurrences_count	int The amount of occurrences in predicted documents.
ground_truth_occurrences_count	int The amount of occurrences in ground truth documents.
predicted_document_count	int The amount of documents with a predicted occurrence.
ground_truth_document_count	int The amount of documents with a ground truth occurrence.
true_positives_count	int The amount of true positives.
false_positives_count	int The amount of false positives.
false_negatives_count	int The amount of false negatives.
total_documents_count	int The amount of documents that had an occurrence of this label.