/AWS1/CL_CRLSYNTHETICDATAEVA00

Comprehensive evaluation metrics for synthetic data that assess both the utility of the generated data for machine learning tasks and its privacy preservation characteristics.

CONSTRUCTOR

IMPORTING

Required arguments:

io_dataprivacyscores TYPE REF TO /AWS1/CL_CRLDATAPRIVACYSCORES /AWS1/CL_CRLDATAPRIVACYSCORES

Privacy-specific evaluation scores that measure how well the synthetic data protects individual privacy, including assessments of potential privacy risks such as membership inference attacks.

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Queryable Attributes

dataPrivacyScores

Privacy-specific evaluation scores that measure how well the synthetic data protects individual privacy, including assessments of potential privacy risks such as membership inference attacks.

Accessible with the following methods

Method	Description
GET_DATAPRIVACYSCORES()	Getter for DATAPRIVACYSCORES