Class Metrics (2.24.0)

Version 2.24.0

• 3.0.1 (latest)
• 3.0.0
• 2.35.0
• 2.34.0
• 2.33.0
• 2.32.0
• 2.30.0
• 2.29.3
• 2.28.0
• 2.27.1
• 2.26.0
• 2.25.0
• 2.24.2
• 2.23.0
• 2.22.0
• 2.21.1
• 2.20.2
• 2.19.0
• 2.18.0
• 2.17.0
• 2.16.1
• 2.15.0
• 2.14.0
• 2.13.0
• 2.12.0
• 2.11.0
• 2.10.0
• 2.9.1
• 2.8.0
• 2.7.0
• 2.6.0
• 2.5.0
• 2.4.1
• 2.3.0
• 2.2.0
• 2.1.0
• 2.0.3
• 1.5.1
• 1.4.2
• 1.3.0
• 1.2.1
• 1.1.0
• 1.0.0
• 0.5.2
• 0.4.0
• 0.3.0
• 0.2.0
• 0.1.0

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.