The Mythos of Model Interpretability
نویسندگان
چکیده
منابع مشابه
The Mythos of Model Interpretability
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. Papers provide diverse and sometimes non-overlapping motivations for interpretability, and offer myriad n...
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ژورنال
عنوان ژورنال: Queue
سال: 2018
ISSN: 1542-7730,1542-7749
DOI: 10.1145/3236386.3241340