Why Deep Learning Outperforms Traditional Credit Scoring

Traditional credit scoring relies heavily on linear models like logistic regression. While interpretable, these models often fail to capture the complex, non-linear interactions present in real-world borrower data.

In my MS thesis research, I explored how deep neural network architectures can model these interactions more effectively, leading to measurable improvements in predictive performance over classical baselines.