International Business Machines Corporation
EXPLANATION OF MACHINE LEARNING MODELS USING A PROCESS-AWARE NEIGHBORHOOD SAMPLING PROCEDURE

Abstract:

A computer-implemented method, a computer program product, and a computer system for explaining black-box machine learning models. A computer or server determines a process-aware neighborhood around a data sample, using one or more business process rules. The computer or server computes proximity between the process-aware neighborhood and the data sample, using a process-aware distance metric. The computer or server finds, from a family of linear functions, a local linear model, by minimizing losses of respective ones of the linear functions and a black-box machine learning model. The computer or server provides the local linear model for explanation of output of the black-box model on the data sample.