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Fraud detection challenges and data skepticism using LIME


Shir presents the story of developing a machine learning model which automatically approves factoring deals, the challenges in the model training, evaluation and interpretation including a mysterious problem in the model creation and the details of its final solution. In addition she discusses data leakage, overfitting and a cutting-edge framework for model explanations (LIME).


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