CPC G06F 16/2365 (2019.01) [G06F 16/29 (2019.01)] | 20 Claims |
1. A method comprising:
receiving, by one or more processors, a plurality of records associated with a first geographical area;
identifying a plurality of corrections to a first attribute in the first geographical area in the plurality of records for a particular time period;
based on identifying the plurality of corrections to the first attribute, computing a first metric representing a quantity of the plurality of corrections to the first attribute per effort during the particular time period;
accumulating a first value representing a total number of errors across a plurality of time periods up to and including the particular time period based on the identified plurality of corrections;
generating a first model that predicts accuracy of the first attribute in the first geographical area based on the metric and the accumulated first value; and
predicting by the first model a total number of errors associated with the first attribute.
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