Supporting Data and Code for "From Crisis to Algorithm: Credit Delinquency Prediction in Peru under Critical External Factors Using Machine Learning"

Title: Supporting Data and Code for "From Crisis to Algorithm: Credit Delinquency Prediction in Peru under Critical External Factors Using Machine Learning" Description:This repository contains the supporting materials for the research article "From Crisis to Algorithm: Credit Delinquency Prediction in Peru under Critical External Factors Using Machine Learning". The dataset includes credit risk records, external factors data (COVID-19 cases, climate anomalies, social unrest), and processed features used in machine learning models. Additionally, the repository provides the Python scripts, Jupyter notebooks, and statistical analysis tools employed for data preprocessing, model training, evaluation, and explainability (SHAP, LIME). Key result files, figures, and supplementary materials are also included to ensure full reproducibility of the findings. Keywords: credit risk, machine learning, external factors, COVID-19, climate change, social unrest, financial modeling, data science