Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success

Catherine Kung, Renzhe Yu. Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success. In David Joyner, René F. Kizilcec, Susan Singer, editors, L@S'20: Seventh ACM Conference on Learning @ Scale, Virtual Event, USA, August 12-14, 2020. pages 413-416, ACM, 2020. [doi]

Abstract

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