NAME

Paws::FraudDetector::TrainingMetrics

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::TrainingMetrics object:

  $service_obj->Method(Att1 => { Auc => $value, ..., MetricDataPoints => $value  });

Results returned from an API call

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

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

DESCRIPTION

The training metric details.

ATTRIBUTES

Auc => Num

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.

MetricDataPoints => ArrayRef[Paws::FraudDetector::MetricDataPoint]

The data points details.

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>