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Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again
Recent work has shown that well-optimized individual decision trees can match complex black box models in some settings, primarily in noisy domains. For the remaining settings, however, complex ensembled compositions of trees often achieve higher accuracy at the cost of interpretability, leaving pra
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