CPC G06Q 40/03 (2023.01) [G06N 20/00 (2019.01); G06Q 40/125 (2013.12)] | 20 Claims |
1. A method to streamline database interactions comprising:
accessing, by a central database system, a training data set comprising historical interactions by historical entities with the central database system and characteristics of the historical entities;
training, by the central database system, a machine-learned model based on the accessed training data set, the machine-learned model configured to determine a rate of requiring a submission of evidence to the central database system from entities associated with interactions with the central database system;
determining, by the central database system, a rate of requiring the submission of evidence to the central database system from target entities by applying the machine-learned model to characteristics of the target entities; and
in response to determining that the rate of requiring the submission of evidence to the central database system is too high, retraining, by the central database system, the machine-learned model by adjusting weights and parameters of the machine-learned model such that an updated rate of requiring the submission of evidence to the central database system associated with the retrained machine-learned model is lower than the rate of requiring the submission of evidence to the central database system.
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