Data and Code for: Leakage-Safe Machine Learning for SME Credit Risk Prediction

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Authors: Shoumya Chowdhury, Anmita Das, Sushanta Paul
Cited by: 0

Abstract

This repository contains the anonymised dataset, modelling code, and documentation supporting the study on leakage-safe machine learning for SME credit risk prediction in an emerging economy context (Bangladesh). The materials are provided to support transparency, reproducibility, and responsible applied artificial intelligence research.

Fields of Study & Subjects

Financial Distress and Bankruptcy Prediction Imbalanced Data Classification Techniques Banking stability regulation efficiency

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
18 January 2026