You are viewing documentation for version 2 of the AWS SDK for Ruby. Version 3 documentation can be found here.
Class: Aws::Comprehend::Types::EntityTypesEvaluationMetrics
- Inherits:
-
Struct
- Object
- Struct
- Aws::Comprehend::Types::EntityTypesEvaluationMetrics
- Defined in:
- (unknown)
Overview
Detailed information about the accuracy of an entity recognizer for a specific entity type.
Returned by:
Instance Attribute Summary collapse
-
#f1_score ⇒ Float
A measure of how accurate the recognizer results are for for a specific entity type in the test data.
-
#precision ⇒ Float
A measure of the usefulness of the recognizer results for a specific entity type in the test data.
-
#recall ⇒ Float
A measure of how complete the recognizer results are for a specific entity type in the test data.
Instance Attribute Details
#f1_score ⇒ Float
A measure of how accurate the recognizer results are for 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.
#precision ⇒ Float
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.
#recall ⇒ Float
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.