Fraud Detector Label

Fraud Detector Label in AWS is a resource used to categorize outcomes for fraud detection models. Labels represent the classification of events, such as marking a transaction as fraudulent or legitimate. They are essential for training and evaluating machine learning models in Amazon Fraud Detector, helping the service learn patterns and improve accuracy in detecting suspicious activity.

aws.frauddetector_label

Fields

TitleIDTypeData TypeDescription
_keycorestring
account_idcorestring
arncorestringThe label ARN.
created_timecorestringTimestamp of when the event type was created.
descriptioncorestringThe label description.
last_updated_timecorestringTimestamp of when the label was last updated.
namecorestringThe label name.
tagscorehstore