Learning Qualitatively Diverse and Interpretable Rules for Classification

22 Jun 2018Andrew Slavin RossWeiwei PanFinale Doshi-Velez

There has been growing interest in developing accurate models that can also be explained to humans. Unfortunately, if there exist multiple distinct but accurate models for some dataset, current machine learning methods are unlikely to find them: standard techniques will likely recover a complex model that combines them... (read more)

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