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Machine learning algorithms can be black boxes--inputs go in, outputs come out, and what happens in the middle is anybody's guess. But understanding how a model arrives at an answer is critical for interpreting the model, and for knowing if it's doing something reasonable (one could even say... trustworthy). We'll talk about a new algorithm called LIME that seeks to make any model more understandable and interpretable.\n\nRelevant Links:\nhttp://arxiv.org/abs/1602.04938\nhttps://github.com/marcotcr/lime/tree/master/lime