Class: Aws::FraudDetector::Types::MetricDataPoint

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-frauddetector/lib/aws-sdk-frauddetector/types.rb

Overview

Model performance metrics data points.

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#fpr ⇒ Float

The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.

Returns:

  • (Float) 


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# File 'gems/aws-sdk-frauddetector/lib/aws-sdk-frauddetector/types.rb', line 3377

class MetricDataPoint < Struct.new(
  :fpr,
  :precision,
  :tpr,
  :threshold)
  SENSITIVE = []
  include Aws::Structure
end

#precision ⇒ Float

The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.

Returns:

  • (Float) 


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# File 'gems/aws-sdk-frauddetector/lib/aws-sdk-frauddetector/types.rb', line 3377

class MetricDataPoint < Struct.new(
  :fpr,
  :precision,
  :tpr,
  :threshold)
  SENSITIVE = []
  include Aws::Structure
end

#threshold ⇒ Float

The model threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.

Returns:

  • (Float) 


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# File 'gems/aws-sdk-frauddetector/lib/aws-sdk-frauddetector/types.rb', line 3377

class MetricDataPoint < Struct.new(
  :fpr,
  :precision,
  :tpr,
  :threshold)
  SENSITIVE = []
  include Aws::Structure
end

#tpr ⇒ Float

The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.

Returns:

  • (Float) 


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# File 'gems/aws-sdk-frauddetector/lib/aws-sdk-frauddetector/types.rb', line 3377

class MetricDataPoint < Struct.new(
  :fpr,
  :precision,
  :tpr,
  :threshold)
  SENSITIVE = []
  include Aws::Structure
end