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Class: Aws::Comprehend::Types::EntityRecognizerEvaluationMetrics
- Inherits:
-
Struct
- Object
- Struct
- Aws::Comprehend::Types::EntityRecognizerEvaluationMetrics
- Defined in:
- (unknown)
Overview
Detailed information about the accuracy of an entity recognizer.
Returned by:
Instance Attribute Summary collapse
-
#f1_score ⇒ Float
A measure of how accurate the recognizer results are for the test data.
-
#precision ⇒ Float
A measure of the usefulness of the recognizer results in the test data.
-
#recall ⇒ Float
A measure of how complete the recognizer results are for the test data.
Instance Attribute Details
#f1_score ⇒ Float
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.
#precision ⇒ Float
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.
#recall ⇒ Float
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.