In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction

Caroline Wang, Bin Han, Bhrij Patel +1

Objectives: We study interpretable recidivism prediction using machine learning (ML) models and analyze performance in terms of prediction ability, sparsity, and fairness. Unlike p…