Intuit Inc.
AUTOMATED GENERATION OF EXPLAINABLE MACHINE LEARNING

Abstract:

A computer-implemented method and system are provided to perform a machine learning pipeline process to produce an explainable machine learning model. A computing device may be configured to train a plurality of machine learning models with a set of respective feature datasets to generate an accuracy and explainability property for each trained model. The computing device may evaluate a plurality of the trained machine learning models and select a model as an explainable machine learning model based on at least one of the accuracy and the explainability property.