Amazonka.FraudDetector.Types.ATIModelPerformance

Documentation

data ATIModelPerformance

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

FromJSON ATIModelPerformance

Defined in Amazonka.FraudDetector.Types.ATIModelPerformance

Methods

parseJSON :: Value -> Parser ATIModelPerformance

parseJSONList :: Value -> Parser [ATIModelPerformance]

Generic ATIModelPerformance

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

Defined in Amazonka.FraudDetector.Types.ATIModelPerformance

Methods

readsPrec :: Int -> ReadS ATIModelPerformance

readList :: ReadS [ATIModelPerformance]

readPrec :: ReadPrec ATIModelPerformance

readListPrec :: ReadPrec [ATIModelPerformance]

Show ATIModelPerformance

Defined in Amazonka.FraudDetector.Types.ATIModelPerformance

Methods

showsPrec :: Int -> ATIModelPerformance -> ShowS

show :: ATIModelPerformance -> String

showList :: [ATIModelPerformance] -> ShowS

NFData ATIModelPerformance

Defined in Amazonka.FraudDetector.Types.ATIModelPerformance

Methods

rnf :: ATIModelPerformance -> ()

Eq ATIModelPerformance

Defined in Amazonka.FraudDetector.Types.ATIModelPerformance

Methods

(==) :: ATIModelPerformance -> ATIModelPerformance -> Bool

(/=) :: ATIModelPerformance -> ATIModelPerformance -> Bool

Hashable ATIModelPerformance

Defined in Amazonka.FraudDetector.Types.ATIModelPerformance

Methods

hashWithSalt :: Int -> ATIModelPerformance -> Int

hash :: ATIModelPerformance -> Int

type Rep ATIModelPerformance

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

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)

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