Patent ID: 11901080
Assignee: C/HCA, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 18:
19. The one or more non-transitory computer-readable storage devices of claim 16, wherein the trained prediction model comprises the first prediction model and the second prediction model, and wherein defining the trained prediction model further comprises:
receiving the first user samples of the training data, a user sample of the first user samples associated with a particular user record maintained by the service management system;
training the first prediction model using the first user samples, wherein a predictive outcome of a node of a plurality of nodes of a decision tree is determined based at least in part on at least one of: (I) a classifier decision boundary between at least two of the plurality of data points, or (II) a relative weight between at least two of the plurality of data points;
receiving the second user samples of the training data, the second user samples corresponding to a subset of the first user samples; and
training the second prediction model using the second user samples, wherein the risk assessment is determined based at least in part on combining a first risk assessment of the first prediction model with a second risk assessment of the second prediction model.