Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study

no code implementations • 27 Apr 2022 • Alice J. Liu, Arpita Mukherjee, Linwei Hu, Jie Chen, Vijayan N. Nair

Overall, XGB and FFNNs were competitive, with FFNNs showing better performance in smooth models and tree-based boosting algorithms performing better in non-smooth models.

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