Patent ID: 11887126
Assignee: SIFT SCIENCE, INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 2:
3. The machine learning-based method according to claim 1, wherein:
the digital event data corpus used for training the digital event meta machine learning model comprises a plurality of distinct digital event meta-training data samples, and
each of the plurality of distinct digital event meta-training data samples:
(i) corresponds to a distinct digital event associated with the target subscriber;
(ii) comprises a digital threat score of the distinct digital event, wherein the digital threat score is computed by an ensemble of production-implemented digital threat scoring machine learning models;
(iii) comprises a distinct feature value of each of the plurality of digital event features, wherein the distinct feature value is extracted from the distinct digital event via one or more feature extractor algorithms; and
(iv) defines a chargeback label indicating if the distinct digital event relates to a chargeback event.