CPC G06N 3/08 (2013.01) [G06N 3/04 (2013.01); G06N 5/022 (2013.01)] | 20 Claims |
1. A method for evaluating machine learning model quality, the method comprising:
processing, by a first machine learning model, a set of inputs to generate a first set of results;
calculating, based on the first set of results, a quality control range;
calculating, by a second machine learning model, a mean accuracy of a second set of results, based on the set of inputs;
determining whether the mean accuracy of the second set of results is within the quality control range; and
notifying a user of the determination.
|