PredictionExplanations - Amazon Fraud Detector


The prediction explanations that provide insight into how each event variable impacted the model version's fraud prediction score.



The details of the aggregated variables impact on the prediction score.

Account Takeover Insights (ATI) model uses event variables from the login data you provide to continuously calculate a set of variables (aggregated variables) based on historical events. For example, your ATI model might calculate the number of times an user has logged in using the same IP address. In this case, event variables used to derive the aggregated variables are IP address and user.

Type: Array of AggregatedVariablesImpactExplanation objects

Required: No


The details of the event variable's impact on the prediction score.

Type: Array of VariableImpactExplanation objects

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: