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Variance Characterization Based on Feature Contribution

Abstract:

Systems, methods, and computer readable media are disclosed for generating, modifying, and using machine learning models to predict and evaluate variances between data sets. Methods disclosed herein may include identifying features that characterize members of a data set, generating a machine learning model using identified features, using the machine learning model and the group to assign feature attributions to the features, and predicting the impact of those features on behaviors of the first data set and a second data set.