We are excited to announce the launch of normalized model scores in Amazon Fraud Detector (Preview). Customers use scores to sideline high risk events, while allowing low risk events to pass with no friction. Prior to this launch, score distributions could shift between models, forcing customers to manually analyze the distributions and update their business logic (e.g. rules) to account for these shifts.
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