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

Claim 9:
10. The machine learning-based method according to claim 8, wherein:
the digital event data corpus comprises a plurality of distinct digital event data samples,
the plurality of distinct digital event data samples underlying the digital event data corpus include:
(a) a plurality of digital event samples that are associated with a digital chargeback event, and
(b) a plurality of digital event samples that are not associated with a digital chargeback event;

each of the distinct feature distribution graphs relates to a distinct target digital event feature of the plurality of digital event features; and
automatically deriving the plurality of distinct digital event decisioning criteria based on the distinct feature distribution graph includes:
(1) automatically deriving, via the one or computers, a first distinct feature value range of the distinct target digital event feature that relates to at least a threshold amount of the plurality of digital event samples that are associated with the digital chargeback event, and
(2) automatically deriving, via the one or computers, a second distinct feature value range of the distinct target digital event feature that relates to at least a threshold amount of the plurality of digital event samples that are not associated with the digital chargeback event.