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Class: Aws::FraudDetector::Types::GetEventPredictionResult

Inherits:

Struct

Object
Struct
Aws::FraudDetector::Types::GetEventPredictionResult

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Defined in:: (unknown)

Overview

Returned by:

Client#get_event_prediction

Instance Attribute Summary collapse

#model_scores ⇒ Array<Types::ModelScores>
The model scores.
#rule_results ⇒ Array<Types::RuleResult>
The results.

Instance Attribute Details

#model_scores ⇒ `Array<Types::ModelScores>`

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.

Returns:

(Array<Types::ModelScores>) —
The model scores.

#rule_results ⇒ `Array<Types::RuleResult>`

The results.