CPC G06N 20/00 (2019.01) [G06F 17/15 (2013.01); G06F 17/16 (2013.01); G06F 18/23213 (2023.01)] | 20 Claims |
1. A computer-implemented method for identifying a change of an indicator value for a system of interdependent entities, the method comprising:
determining, based on initial input data, an initial key performance indicator (KPI) value, the KPI value representing operational quality of a system of interdependent entities, the system of interdependent entities including a machine-learning model as a component of the interdependent entities;
logging additional input data for each entity during subsequent operation of the system of interdependent entities;
deriving, from the additional input data, scoring payload data and related results of the machine-learning model, the related results being classifiers of a neural network of the machine-learning model;
clustering, based on similarity, the additional input data into a plurality of defined clusters;
determining a set of cluster-based KPI values for each cluster of the plurality of defined clusters;
generating a vector for the set of cluster-based KPI values;
calculating metric values of the machine-learning model by mapping each cluster onto the scoring payload data, resulting in a metric values vector; and
determining correlation matrix values for a correlation matrix between the vector of cluster-based KPI values and the metric values vector of the clusters.
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