Patent ID: 11961005
Assignee: STORYTELLERS.AI LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 25:
26. The system of claim 22, wherein determining the one or more erroneous feature fields, further comprises:
segmenting the plurality of feature records into one or more of a training segment, a recent segment, or a simulation segment based on the one or more labels and the domain data;
generating refreshed domain data that includes data collected subsequent to a collection of the data for the domain data;
generating a new segment based on a plurality of other feature records that are derived from the refreshed domain data;
evaluating one or more outcomes predicted by the disqualified model based on a submission of one or more feature records associated with one or more of the training segment, the recent segment, the simulation segment, or the new segment; and
generating the one or more metrics based on the evaluation, wherein the one or more metrics indicate one or more of a label leakage, time leakage, data leakage, overfitting, underfitting, or drift.