Class: Aws::FraudDetector::Types::PredictionExplanations

Inherits:

Struct

Object
Struct
Aws::FraudDetector::Types::PredictionExplanations

show all

Includes:: Structure

Defined in:: lib/aws-sdk-frauddetector/types.rb

Overview

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

Constant Summary collapse

SENSITIVE =

[]

Instance Attribute Summary collapse

#aggregated_variables_impact_explanations ⇒ Array<Types::AggregatedVariablesImpactExplanation>

The details of the aggregated variables impact on the prediction score.
#variable_impact_explanations ⇒ Array<Types::VariableImpactExplanation>

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

Instance Attribute Details

#aggregated_variables_impact_explanations ⇒ `Array<Types::AggregatedVariablesImpactExplanation>`

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`.

Returns:

(Array<Types::AggregatedVariablesImpactExplanation>)

# File 'lib/aws-sdk-frauddetector/types.rb', line 3802

class PredictionExplanations < Struct.new(
  :variable_impact_explanations,
  :aggregated_variables_impact_explanations)
  SENSITIVE = []
  include Aws::Structure
end

#variable_impact_explanations ⇒ `Array<Types::VariableImpactExplanation>`

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