A machine learning workflow to address credit default prediction

arXiv:2403.03785v1 Announce Type: cross
Abstract: Due to the recent increase in interest in Financial Technology (FinTech), applications like credit default prediction (CDP) are gaining significant industrial and academic attention. In this regard, CDP plays a crucial role in assessing the creditworthiness of individuals and businesses, enabling lenders to make informed decisions regarding loan approvals and risk management. In this paper, we propose a workflow-based approach to improve CDP, which refers to the task of assessing the probability that a borrower …

abstract academic applications arxiv attention businesses cdp credit cs.ce cs.lg decisions enabling financial financial technology fintech industrial machine machine learning prediction q-fin.rm regard role technology type workflow