Automated Learning of Interpretable Models with Quantified Uncertainty

no code implementations • 12 Apr 2022 • G. F. Bomarito, P. E. Leser, N. C. M Strauss, K. M. Garbrecht, J. D. Hochhalter

Interpretability and uncertainty quantification in machine learning can provide justification for decisions, promote scientific discovery and lead to a better understanding of model behavior.

BIG-bench Machine Learning Interpretable Machine Learning +3