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

Claim 4:
5. The machine learning-based method according to claim 4, wherein:
each of the plurality of distinct digital event classification paths of the digital event meta machine learning model comprises one or more distinct digital event decisioning criterion,
each of the one or more distinct digital event decisioning criterion relates to a Boolean expression that assess a distinct digital event feature of the plurality of distinct digital event features against a numerical or categorical digital event feature value computed by the digital event meta machine learning model,
each distinct automated digital event decisioning route of the one or more first distinct automated digital event decisioning routes relates to a distinct digital event classification path of the one or more first distinct digital event classification paths, and
setting the distinct route execution condition for each distinct automated digital event decisioning route of one or more first distinct automated digital event decisioning routes includes:
(i) extracting each distinct digital event decisioning criterion defined in a distinct digital event classification path relating to a distinct automated digital event decisioning route of the one or more first distinct automated digital event decisioning routes; and
(ii) adding the each distinct digital event decisioning criterion extracted from the distinct digital event classification path to the distinct route execution condition of the distinct automated digital event decisioning route relating to the distinct digital event classification path.