<ul><li>Ensemble models are known for their limited interpretability compared to single models like decision trees.</li><li>Factors like the number, size, and type of base models influence the interpretability of ensembles.</li><li>Applying concepts from computational complexity theory can help study the challenges of generating explanations for ensemble configurations.</li><li>Interpreting ensembles is shown to be intractable under certain complexity assumptions, with complexity patterns influenced by factors like the number and type of base models.</li></ul>

What makes an Ensemble (Un) Interpretable?

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