Determining performance change within a dataset with an applied condition using machine learning models

Abstract

Methods and systems are disclosed for determining a performance shift due to an applied condition, excluding other, e.g., environmental, factors. One mechanism for determining a performance shift due to an applied condition involves using two datasets (e.g., a control dataset and a test dataset) for two different populations. A training dataset is used to train a machine learning model to build a control dataset to be used in a second machine learning model together with a test dataset to determine whether a performance shift between the two datasets is due to the condition that was applied to the test dataset.