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

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

Overview

The training metric details.

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#aucFloat

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)


4163
4164
4165
4166
4167
4168
# File 'gems/aws-sdk-frauddetector/lib/aws-sdk-frauddetector/types.rb', line 4163

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

#metric_data_pointsArray<Types::MetricDataPoint>

The data points details.

Returns:



4163
4164
4165
4166
4167
4168
# File 'gems/aws-sdk-frauddetector/lib/aws-sdk-frauddetector/types.rb', line 4163

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