[1606.03490] The Mythos of Model Interpretability
Francis Tseng
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Abstract: Supervised machine learning models boast remarkable predictive capabilities. But can you trust your model? Will it work in deployment? What else can it tell you about the world? We want models to be not only good, but interpretable. And yet the task of interpretation appears underspecified.

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