GetEventPredictionResult
import type { GetEventPredictionResult } from "https://aws-api.deno.dev/v0.3/services/frauddetector.ts?docs=full";interface GetEventPredictionResult {
externalModelOutputs?: ExternalModelOutputs[] | null;
modelScores?: ModelScores[] | null;
ruleResults?: RuleResult[] | null;
}§Properties
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externalModelOutputs?: ExternalModelOutputs[] | null
[src]The model scores for Amazon SageMaker models.
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modelScores?: ModelScores[] | null
[src]The model scores. Amazon Fraud Detector generates model scores between 0 and 1000, where 0 is low fraud risk and 1000 is high fraud risk. Model scores are directly related to the false positive rate (FPR). For example, a score of 600 corresponds to an estimated 10% false positive rate whereas a score of 900 corresponds to an estimated 2% false positive rate.
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ruleResults?: RuleResult[] | null
[src]The results from the rules.