Author

E. Levina

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#machine learning Sep 2025

Interpretable Network-assisted Random Forest+

A family of flexible network-assisted models built upon a generalization of random forests (RF+) is proposed, which achieves highly-competitive prediction accuracy and can be understood through intrinsic interpretability measures, derived directly from the model parameters and structure.

Tiffany M. Tang, E. Levina, Ji Zhu · arXiv.org · 1 citation · ⚡1