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.TFIModelPerformance

Description

Synopsis

data TFIModelPerformance = TFIModelPerformance' {
- auc :: Maybe Double
}
newTFIModelPerformance :: TFIModelPerformance
tFIModelPerformance_auc :: Lens' TFIModelPerformance (Maybe Double)

Documentation

data TFIModelPerformance Source #

The Transaction Fraud Insights (TFI) model performance score.

See: newTFIModelPerformance smart constructor.

Constructors

TFIModelPerformance'
Fields auc :: Maybe Double The area under the curve (auc). This summarizes the total positive rate (tpr) and false positive rate (FPR) across all possible model score thresholds.

Instances

Instances details

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

newTFIModelPerformance :: TFIModelPerformance Source #

Create a value of TFIModelPerformance 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:auc:TFIModelPerformance', tFIModelPerformance_auc - The area under the curve (auc). This summarizes the total positive rate (tpr) and false positive rate (FPR) across all possible model score thresholds.

tFIModelPerformance_auc :: Lens' TFIModelPerformance (Maybe Double) Source #

The area under the curve (auc). This summarizes the total positive rate (tpr) and false positive rate (FPR) across all possible model score thresholds.