Tree-based methods for black-box model explanation

The goal of this project is to develop an automated method for translating uninterpretable machine-learned models to interpretable decision-tree-like models with high fidelity.

Presentations

• Learning trees to explain models (2021-07-19)
  Informal presentation to the Craven Group