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  1. 1. Implementing Machine Learning in the Credit Process of a Learning Organization While Maintaining Transparency Using LIME

    University essay from KTH/Industriell ekonomi och organisation (Inst.); KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jacob Malmberg; Marcus Nystad Öhman; Alexandra Hotti; [2018]
    Keywords : Machine Learning; LIME; Credit Process; Black Box; Organizational learning; Local Interpretable Model-Agnostic Explanations; Banking; Neural network; Word2vec;

    Abstract : To determine whether a credit limit for a corporate client should be changed, a financial institution writes a PM containingtext and financial data that then is assessed by a credit committee which decides whether to increase the limit or not. To make thisprocess more efficient, machine learning algorithms was used to classify the credit PMs instead of a committee. READ MORE