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Credit risk assessment using the factorization machine model with feature interactions

Business

Credit risk assessment using the factorization machine model with feature interactions

J. Quan and X. Sun

This research, conducted by Jing Quan and Xuelian Sun, demonstrates the effectiveness of the factorization machine model in credit risk assessment. With impressive accuracy and computational efficiency, this study positions FM as a leading candidate in the field, outperforming traditional models like logistic regression and support vector machine.

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