PNG  IHDR;IDATxܻn0K )(pA 7LeG{ §㻢|ذaÆ 6lذaÆ 6lذaÆ 6lom$^yذag5bÆ 6lذaÆ 6lذa{ 6lذaÆ `}HFkm,mӪôô! x|'ܢ˟;E:9&ᶒ}{v]n&6 h_tڠ͵-ҫZ;Z$.Pkž)!o>}leQfJTu іچ\X=8Rن4`Vwl>nG^is"ms$ui?wbs[m6K4O.4%/bC%t Mז -lG6mrz2s%9s@-k9=)kB5\+͂Zsٲ Rn~GRC wIcIn7jJhۛNCS|j08yiHKֶۛkɈ+;SzL/F*\Ԕ#"5m2[S=gnaPeғL lذaÆ 6l^ḵaÆ 6lذaÆ 6lذa; _ذaÆ 6lذaÆ 6lذaÆ RIENDB` # Generated by default/object.tt package Paws::FraudDetector::MetricDataPoint; use Moose; has Fpr => (is => 'ro', isa => 'Num', request_name => 'fpr', traits => ['NameInRequest']); has Precision => (is => 'ro', isa => 'Num', request_name => 'precision', traits => ['NameInRequest']); has Threshold => (is => 'ro', isa => 'Num', request_name => 'threshold', traits => ['NameInRequest']); has Tpr => (is => 'ro', isa => 'Num', request_name => 'tpr', traits => ['NameInRequest']); 1; ### main pod documentation begin ### =head1 NAME Paws::FraudDetector::MetricDataPoint =head1 USAGE This class represents one of two things: =head3 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 }); =head3 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 =head1 DESCRIPTION Model performance metrics data points. =head1 ATTRIBUTES =head2 Fpr => Num The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud. =head2 Precision => Num The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent. =head2 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. =head2 Tpr => Num The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate. =head1 SEE ALSO This class forms part of L, describing an object used in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut