CPC G06N 7/01 (2023.01) [G06N 20/00 (2019.01)] | 12 Claims |
1. A computer-implemented method for alerting to analytical model degradation in a data processing system comprising a processing device and a memory comprising instructions which are executed by the processing device, the method comprising:
obtaining, by the processing device, metric data associated with an analytical model;
performing, by the processing device, a model metric distribution analysis of the analytical model by evaluating the location of the metric data within a calculated statistical distribution of metrics of other models;
determining, by the processing device, a time period at which the model was trained based on the obtained metric data;
identifying, by the processing device, a survival time period of the model based on both the determined time period at which the model was trained and a failure time period of the model;
repeating the above steps to determine a survival time period for the plurality of analytical models;
performing, by the processing device, a survival analysis based on the survival time period for the plurality of analytical models;
outputting, by the processing device, a training notification indicating that the given model is required to be retrained based on the survival analysis; and
retraining the analytical model.
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