Complex models and easy interpretability, is that possible?

Using Machine Learning models in our fraud detection systems can be a challenge when it comes to explaining the process or interpreting the results. Having a good triage and alert generation system is key to any good fraud system, but being able to explain correctly and convey to investigators what they need to know to make the right checks is equally important.

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