CPC G06N 5/04 (2013.01) [G06F 16/285 (2019.01); G06N 20/00 (2019.01)] | 20 Claims |
1. A computer-implemented method, comprising:
assigning a set of transaction records, defining one or more recommendations made by an artificial intelligence (AI) decision engine, to a set of batches based on a set of record characteristics for the set of transaction records;
determining a set of batch characteristics for a batch of the set of batches;
determining one or more correlations among the set of batch characteristics;
comparing the one or more correlations with threshold correlations of one or more threshold batches; and
determining, from the one or more correlations and the comparing, an impact of one or more recommendations of the AI decision engine.
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