Interpretable Selection and Visualization of Features and Interactions Using Bayesian Forests

Viktoriya Krakovna, Jiong Du, Jun S. Liu

It is becoming increasingly important for machine learning methods to make predictions that are interpretable as well as accurate. In many practical applications, it is of interest…