Class: Aws::Comprehend::Types::FlywheelModelEvaluationMetrics

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

Overview

The evaluation metrics associated with the evaluated model.

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#average_accuracy ⇒ Float

Average accuracy metric for the model.

Returns:

  • (Float) 


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# File 'lib/aws-sdk-comprehend/types.rb', line 4803

class FlywheelModelEvaluationMetrics < Struct.new(
  :average_f1_score,
  :average_precision,
  :average_recall,
  :average_accuracy)
  SENSITIVE = []
  include Aws::Structure
end

#average_f1_score ⇒ Float

The average F1 score from the evaluation metrics.

Returns:

  • (Float) 


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# File 'lib/aws-sdk-comprehend/types.rb', line 4803

class FlywheelModelEvaluationMetrics < Struct.new(
  :average_f1_score,
  :average_precision,
  :average_recall,
  :average_accuracy)
  SENSITIVE = []
  include Aws::Structure
end

#average_precision ⇒ Float

Average precision metric for the model.

Returns:

  • (Float) 


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# File 'lib/aws-sdk-comprehend/types.rb', line 4803

class FlywheelModelEvaluationMetrics < Struct.new(
  :average_f1_score,
  :average_precision,
  :average_recall,
  :average_accuracy)
  SENSITIVE = []
  include Aws::Structure
end

#average_recall ⇒ Float

Average recall metric for the model.

Returns:

  • (Float) 


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# File 'lib/aws-sdk-comprehend/types.rb', line 4803

class FlywheelModelEvaluationMetrics < Struct.new(
  :average_f1_score,
  :average_precision,
  :average_recall,
  :average_accuracy)
  SENSITIVE = []
  include Aws::Structure
end