CPC G06N 20/00 (2019.01) [G06N 5/02 (2013.01)] | 25 Claims |
1. A method for alerting a user to an erroneous prediction of a machine learning base model, the method comprising:
running the machine learning base model on a first input dataset to generate a pair of baseline predictions by the machine learning base model and to determine a local-level importance of a first explainable feature of the machine learning base model to a prediction class of the machine learning base model;
determining a global-level importance of the first explainable feature of the machine learning base model to the machine learning base model based on the local-level importance of the first explainable feature of the machine learning base model;
running the machine learning base model on a second input dataset to generate a new prediction by the machine learning base model;
determining an erroneousness designation for the new prediction based on the local-level importance of the first explainable feature of the machine learning base model and the global-level importance of the first explainable feature of the machine learning base model; and
communicating the new prediction and an indication of the erroneousness designation for the new prediction for presentation to the user.
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