class Aws::Comprehend::Types::EntityRecognizerEvaluationMetrics

Detailed information about the accuracy of an entity recognizer.

@!attribute [rw] precision

A measure of the usefulness of the recognizer results 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 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 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/EntityRecognizerEvaluationMetrics AWS API Documentation

Constants

SENSITIVE