Integrating Random Forests and Generalized Linear Models for Improved Accuracy and Interpretability

Abhineet Agarwal, Ana M. Kenney, Yan Shuo Tan +2

Random forests (RFs) are among the most popular supervised learning algorithms due to their nonlinear flexibility and ease-of-use. However, as black box models, they can only be in…