class Aws::Comprehend::Types::EntityTypesEvaluationMetrics
Detailed information about the accuracy of an entity recognizer for a specific entity type.
@!attribute [rw] precision
A measure of the usefulness of the recognizer results for a specific entity type in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones. @return [Float]
@!attribute [rw] recall
A measure of how complete the recognizer results are for a specific entity type in the test data. High recall means that the recognizer returned most of the relevant results. @return [Float]
@!attribute [rw] f1_score
A measure of how accurate the recognizer results are for a specific entity type in the test data. It is derived from the `Precision` and `Recall` values. The `F1Score` is the harmonic average of the two scores. The highest score is 1, and the worst score is 0. @return [Float]
@see docs.aws.amazon.com/goto/WebAPI/comprehend-2017-11-27/EntityTypesEvaluationMetrics AWS API Documentation
Constants
- SENSITIVE