Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.FraudDetector.Types.ATIModelPerformance

Description

Synopsis

data ATIModelPerformance = ATIModelPerformance' {
- asi :: Maybe Double
}
newATIModelPerformance :: ATIModelPerformance
aTIModelPerformance_asi :: Lens' ATIModelPerformance (Maybe Double)

Documentation

data ATIModelPerformance Source #

The Account Takeover Insights (ATI) model performance score.

See: newATIModelPerformance smart constructor.

Constructors

ATIModelPerformance'

Fields

asi :: Maybe Double
The anomaly separation index (ASI) score. This metric summarizes the overall ability of the model to separate anomalous activities from the normal behavior. Depending on the business, a large fraction of these anomalous activities can be malicious and correspond to the account takeover attacks. A model with no separability power will have the lowest possible ASI score of 0.5, whereas the a model with a high separability power will have the highest possible ASI score of 1.0

Instances

Instances details

FromJSON ATIModelPerformance Source #
Instance details Defined in Amazonka.FraudDetector.Types.ATIModelPerformance Methods parseJSON :: Value -> Parser ATIModelPerformance # parseJSONList :: Value -> Parser [ATIModelPerformance] #
Generic ATIModelPerformance Source #
Instance details Defined in Amazonka.FraudDetector.Types.ATIModelPerformance Associated Types type Rep ATIModelPerformance :: Type -> Type # Methods from :: ATIModelPerformance -> Rep ATIModelPerformance x # to :: Rep ATIModelPerformance x -> ATIModelPerformance #
Read ATIModelPerformance Source #
Instance details Defined in Amazonka.FraudDetector.Types.ATIModelPerformance Methods readsPrec :: Int -> ReadS ATIModelPerformance # readList :: ReadS [ATIModelPerformance] # readPrec :: ReadPrec ATIModelPerformance # readListPrec :: ReadPrec [ATIModelPerformance] #
Show ATIModelPerformance Source #
Instance details Defined in Amazonka.FraudDetector.Types.ATIModelPerformance Methods showsPrec :: Int -> ATIModelPerformance -> ShowS # show :: ATIModelPerformance -> String # showList :: [ATIModelPerformance] -> ShowS #
NFData ATIModelPerformance Source #
Instance details Defined in Amazonka.FraudDetector.Types.ATIModelPerformance Methods rnf :: ATIModelPerformance -> () #
Eq ATIModelPerformance Source #
Instance details Defined in Amazonka.FraudDetector.Types.ATIModelPerformance Methods (==) :: ATIModelPerformance -> ATIModelPerformance -> Bool # (/=) :: ATIModelPerformance -> ATIModelPerformance -> Bool #
Hashable ATIModelPerformance Source #
Instance details Defined in Amazonka.FraudDetector.Types.ATIModelPerformance Methods hashWithSalt :: Int -> ATIModelPerformance -> Int # hash :: ATIModelPerformance -> Int #
type Rep ATIModelPerformance Source #
Instance details Defined in Amazonka.FraudDetector.Types.ATIModelPerformance type Rep ATIModelPerformance = D1 ('MetaData "ATIModelPerformance" "Amazonka.FraudDetector.Types.ATIModelPerformance" "amazonka-frauddetector-2.0-CdXFXtLV8DgKo4Kta7Jw61" 'False) (C1 ('MetaCons "ATIModelPerformance'" 'PrefixI 'True) (S1 ('MetaSel ('Just "asi") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newATIModelPerformance :: ATIModelPerformance Source #

Create a value of ATIModelPerformance with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:asi:ATIModelPerformance', aTIModelPerformance_asi - The anomaly separation index (ASI) score. This metric summarizes the overall ability of the model to separate anomalous activities from the normal behavior. Depending on the business, a large fraction of these anomalous activities can be malicious and correspond to the account takeover attacks. A model with no separability power will have the lowest possible ASI score of 0.5, whereas the a model with a high separability power will have the highest possible ASI score of 1.0

aTIModelPerformance_asi :: Lens' ATIModelPerformance (Maybe Double) Source #

The anomaly separation index (ASI) score. This metric summarizes the overall ability of the model to separate anomalous activities from the normal behavior. Depending on the business, a large fraction of these anomalous activities can be malicious and correspond to the account takeover attacks. A model with no separability power will have the lowest possible ASI score of 0.5, whereas the a model with a high separability power will have the highest possible ASI score of 1.0