Class: Aws::Comprehend::Types::EntityRecognizerEvaluationMetrics

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.

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 the test data. It is derived from the `Precision` and `Recall` values. The `F1Score` is the harmonic average of the two scores. For plain text entity recognizer models, the range is 0 to 100, where 100 is the best score. For PDF/Word entity recognizer models, the range is 0 to 1, where 1 is the best score.

Returns:

  • (Float) 

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# File 'lib/aws-sdk-comprehend/types.rb', line 3944

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.

Returns:

  • (Float) 

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# File 'lib/aws-sdk-comprehend/types.rb', line 3944

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.

Returns:

  • (Float) 

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# File 'lib/aws-sdk-comprehend/types.rb', line 3944

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