Patent ID: 11922289
Assignee: SUBSALT INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. The method according to claim 15, wherein determining the synthetic machine learning classifier of the plurality of synthetic machine learning classifiers that performs closest to the distinct machine learning classifier trained on the sensitive data samples includes:
computing a plurality of synthetic F1 score model efficacy metrics for the plurality of synthetic machine learning classifiers trained on the synthetic data samples based on predictive inferences of the plurality of synthetic machine learning classifiers on a validation dataset derived from the target sensitive dataset,
computing a raw data F1 score model efficacy metric for the distinct machine learning classifier trained on the sensitive data samples based on predictive inferences of the distinct machine learning classifier on the validation dataset derived from the target sensitive dataset,
computing a plurality of derivative synthetization efficacy metrics based on a difference between the raw data F1 score model efficacy metric and a distinct one of the plurality of synthetic F1 score model efficacy metrics, and
selecting a synthetic machine learning classifier associated with a smallest derivative synthetization efficacy metric as the synthetic machine learning classifier that performs closest to the distinct machine learning classifier trained on the sensitive data samples.