NBDT: Neural-Backed Decision Trees

Machine learning applications such as finance and medicine demand accurate and justifiable predictions, barring most deep learning methods from use. In response, previous work combines decision trees with deep learning, yielding models that (1) sacrifice interpretability to maintain accuracy or (2) underperform modern neural networks to maintain interpretability... (read more)

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