pyCeterisParibus: explaining Machine Learning models with Ceteris Paribus Profiles in Python

Abstract

Machine learning is needed and used everywhere. It has fundamentally changed all datadriven disciplines, like health-care, biology, finance, legal, military, security, transportation, and many others. The increasing availability of large annotated data sources combined with recent developments in Machine Learning revolutionizes many disciplines. However, predictive models become more and more complex. It is not uncommon to have ensembles of predictive models with thousands or millions of parameters. Such models act as blackboxes. It is almost impossible for a human to understand reasons for model decisions.