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?
Cite
CITATION STYLE
APA
Lipton, Z. C. (2018). The Mythos of Model Interpretability. Queue, 16(3), 31–57. https://doi.org/10.1145/3236386.3241340
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