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Class: Aws::FraudDetector::Types::MetricDataPoint
- Inherits:
-
Struct
- Object
- Struct
- Aws::FraudDetector::Types::MetricDataPoint
- Defined in:
- (unknown)
Overview
Model performance metrics data points.
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.
#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. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.
#tpr ⇒ Float
The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.