Class: Aws::FraudDetector::Types::TrainingMetrics

Inherits:

Struct

• Object
• Struct
• Aws::FraudDetector::Types::TrainingMetrics

Includes:

Structure

Defined in:

lib/aws-sdk-frauddetector/types.rb

Overview

The training metric details.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #auc ⇒ Float

  The area under the curve.

• #metric_data_points ⇒ Array<Types::MetricDataPoint>

  The data points details.

Instance Attribute Details

#auc ⇒ Float

The area under the curve. This summarizes true positive rate (TPR) and false positive rate (FPR) across all possible model score thresholds. A model with no predictive power has an AUC of 0.5, whereas a perfect model has a score of 1.0.

Returns:

• (Float)

# File 'lib/aws-sdk-frauddetector/types.rb', line 4401

class TrainingMetrics < Struct.new(
  :auc,
  :metric_data_points)
  SENSITIVE = []
  include Aws::Structure
end

#metric_data_points ⇒ Array<Types::MetricDataPoint>

The data points details.

Returns:

• (Array<Types::MetricDataPoint>)

# File 'lib/aws-sdk-frauddetector/types.rb', line 4401

class TrainingMetrics < Struct.new(
  :auc,
  :metric_data_points)
  SENSITIVE = []
  include Aws::Structure
end