NAME

Paws::FraudDetector::MetricDataPoint

USAGE

This class represents one of two things:

Arguments in a call to a service

Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object.

As an example, if Att1 is expected to be a Paws::FraudDetector::MetricDataPoint object:

  $service_obj->Method(Att1 => { Fpr => $value, ..., Tpr => $value  });

Results returned from an API call

Use accessors for each attribute. If Att1 is expected to be an Paws::FraudDetector::MetricDataPoint object:

  $result = $service_obj->Method(...);
  $result->Att1->Fpr

DESCRIPTION

Model performance metrics data points.

ATTRIBUTES

Fpr => Num

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

Precision => Num

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

Threshold => Num

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 => Num

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

BUGS and CONTRIBUTIONS

The source code is located here: <https://github.com/pplu/aws-sdk-perl>

Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>