AWS – AWS announces the launch of prediction explanations for Amazon Fraud Detector Models

We are excited to announce the launch of prediction explanations for Amazon Fraud Detector machine learning (ML) models, available via both the AWS Console and SDK. Prediction explanations report the impact of the predictors (or input variables) on a fraud score, which helps customers achieve greater visibility into how an ML model arrived at a particular fraud score. Amazon Fraud Detector (AFD) is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud. Using ML under the hood and based on over 20 years of fraud detection expertise from AFD automatically identifies potentially fraudulent activity in milliseconds—with no ML expertise required.

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