1 code implementation • 16 Dec 2022 • Eric S. Muckley, James E. Saal, Bryce Meredig, Christopher S. Roper, John H. Martin
In efforts to achieve state-of-the-art model accuracy, researchers are employing increasingly complex machine learning algorithms that often outperform simple regressions in interpolative settings (e. g. random k-fold cross-validation) but suffer from poor extrapolation performance, portability, and human interpretability, which limits their potential for facilitating novel scientific insight.
