Class: Aws::Comprehend::Types::EntityTypesEvaluationMetrics

Inherits:
Struct
  • Object
show all
Includes:
Structure
Defined in:
lib/aws-sdk-comprehend/types.rb

Overview

Detailed information about the accuracy of an entity recognizer for a specific entity type.

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#f1_score ⇒ Float

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.

Returns:

  • (Float) 


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# File 'lib/aws-sdk-comprehend/types.rb', line 4459

class EntityTypesEvaluationMetrics < Struct.new(
  :precision,
  :recall,
  :f1_score)
  SENSITIVE = []
  include Aws::Structure
end

#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.

Returns:

  • (Float) 


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# File 'lib/aws-sdk-comprehend/types.rb', line 4459

class EntityTypesEvaluationMetrics < Struct.new(
  :precision,
  :recall,
  :f1_score)
  SENSITIVE = []
  include Aws::Structure
end

#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.

Returns:

  • (Float) 


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# File 'lib/aws-sdk-comprehend/types.rb', line 4459

class EntityTypesEvaluationMetrics < Struct.new(
  :precision,
  :recall,
  :f1_score)
  SENSITIVE = []
  include Aws::Structure
end