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Have you ever been bothered by unreasonable refusal of loans? Have you ever doubted the safety of automatic driving of your car? You say this drug can treat lung cancer. Why? Doubts abound in scientific research, financial markets and other fields. As we all know, machine learning model, such as neural network, deep neural network, has very good prediction ability, but let people trust the results of a model in addition to good accuracy, interpretability is also an important factor. This paper will introduce the definition, properties and methods of machine learning model interpretability, and in the following articles, focus on the methods of different interpretation models, strive to maintain the accuracy of the model at the same time, improve the interpretability of the model through better interpretation methods, so as to improve people's trust and acceptance of the model and model results.
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