Hybrid Deep Learning for Enhanced Credit Scoring Accuracy

This workshop explores innovative advancements in credit scoring, focusing on overcoming traditional model limitations through machine learning. It introduces a hybrid model combining 1D-CNN for spatial feature extraction with Mamba State Space for sequence processing, validated using the UCI dataset with a remarkable 92% accuracy. Methodological insights, experimental benchmarks, and fairness enhancement strategies will be discussed. Participants will gain a deeper understanding of...