<ul><li>Tree-based ensembles are efficient and expressive models for tabular data.</li><li>Traditional tree-based ensembles have limitations in expressing complex relationships.</li><li>RO-FIGS (Random Oblique Fast Interpretable Greedy-Tree Sums) improves the efficiency and expressiveness of tree-based ensembles.</li><li>RO-FIGS outperforms other tree- and neural network-based methods, while providing enhanced interpretability.</li></ul>

RO-FIGS: Efficient and Expressive Tree-Based Ensembles for Tabular Data

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