Interpretable Machine Learning Models for Critical Decision Systems
This paper is the systematic and complete study of interpretable machine learning models of critical decision systems and describes a systematic approach to the selection, design and validation of interpretable ML models within real-life conditions of uncertainties of data, bias and regulatory standards.