GAM Changer: Editing Generalized Additive Models with Interactive Visualization

1 code implementation • 6 Dec 2021 • Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana

Recent strides in interpretable machine learning (ML) research reveal that models exploit undesirable patterns in the data to make predictions, which potentially causes harms in deployment.

Additive models Interpretable Machine Learning