Class: Aws::Comprehend::Types::EntityRecognizerEvaluationMetrics
- Inherits:
-
Struct
- Object
- Struct
- Aws::Comprehend::Types::EntityRecognizerEvaluationMetrics
- Defined in:
- gems/aws-sdk-comprehend/lib/aws-sdk-comprehend/types.rb
Overview
Detailed information about the accuracy of an entity recognizer.
Constant Summary collapse
- SENSITIVE =
[]
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.
2818 2819 2820 2821 2822 2823 2824 |
# File 'gems/aws-sdk-comprehend/lib/aws-sdk-comprehend/types.rb', line 2818 class EntityRecognizerEvaluationMetrics < Struct.new( :precision, :recall, :f1_score) SENSITIVE = [] include Aws::Structure end |
#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.
2818 2819 2820 2821 2822 2823 2824 |
# File 'gems/aws-sdk-comprehend/lib/aws-sdk-comprehend/types.rb', line 2818 class EntityRecognizerEvaluationMetrics < Struct.new( :precision, :recall, :f1_score) SENSITIVE = [] include Aws::Structure end |
#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.
2818 2819 2820 2821 2822 2823 2824 |
# File 'gems/aws-sdk-comprehend/lib/aws-sdk-comprehend/types.rb', line 2818 class EntityRecognizerEvaluationMetrics < Struct.new( :precision, :recall, :f1_score) SENSITIVE = [] include Aws::Structure end |