METHOD AND SYSTEM FOR AUTOMATICALLY PRODUCING PLAIN-TEXT EXPLANATION OF MACHINE LEARNING MODELS

摘要

Embodiments provide methods and systems for generating a plain-text explanation for a prediction score associated with a record. An explanation generation system is configured to receive the record from a user. A prediction score is calculated using an ML model and a plurality of feature variables that are contributing to the prediction score are determined by the system. The plurality of feature variables are rank-ordered by the system based on their corresponding contribution to the prediction score. Further, correlated features are determined from among the plurality of feature variables and are grouped into one or more groups of correlated feature variables. At least one feature variable from each of the one or more groups is selected to determine a list of feature variables. The list of feature variables is passed to a sentence creation module that generates a plain-text explanation. The generated plain-text explanation is displayed to the user.