Class: Aws::FraudDetector::Types::TFIMetricDataPoint
- Inherits:
-
Struct
- Object
- Struct
- Aws::FraudDetector::Types::TFIMetricDataPoint
- Includes:
- Structure
- Defined in:
- lib/aws-sdk-frauddetector/types.rb
Overview
The performance metrics data points for Transaction Fraud Insights (TFI) model.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#fpr ⇒ Float
The false positive rate.
-
#precision ⇒ Float
The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.
-
#threshold ⇒ Float
The model threshold that specifies an acceptable fraud capture rate.
-
#tpr ⇒ Float
The true positive rate.
Instance Attribute Details
#fpr ⇒ Float
The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.
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# File 'lib/aws-sdk-frauddetector/types.rb', line 4264 class TFIMetricDataPoint < 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.
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# File 'lib/aws-sdk-frauddetector/types.rb', line 4264 class TFIMetricDataPoint < 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.
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# File 'lib/aws-sdk-frauddetector/types.rb', line 4264 class TFIMetricDataPoint < 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.
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# File 'lib/aws-sdk-frauddetector/types.rb', line 4264 class TFIMetricDataPoint < Struct.new( :fpr, :precision, :tpr, :threshold) SENSITIVE = [] include Aws::Structure end |