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