Loan default prediction system using logistic regression Department: Computer Science By: olagok01 Project ID: 9271 Rating: (5.0) votes: 1Rate this project12345 Price:₦5000 Get the Complete MaterialAbstractThe financial services industry faces significant risks from loan defaults, which can lead to substantial losses and economic instability. Traditional credit assessment methods, often reliant on manual underwriting and basic credit scores, are plagued by subjectivity, inconsistency, and an inability to accurately quantify individual default risk. This project addresses these critical challenges by designing and implementing a data-driven loan default prediction system using the logistic regression algorithm. The system leverages historical loan applicant data, including features such as income, credit history, loan amount, and debt-to-income ratio. Following a structured methodology, the data undergoes preprocessing and feature engineering before being used to train a logistic regression model. The model is evaluated using standard metrics like Accuracy, Precision, Recall, F1-Score, and the Area Under the ROC Curve (AUC-ROC) to ensure robust performance in classifying applicants as"likely to default" or"not likely to default." A key outcome of this project is the development of a prototype web-based application that provides a user-friendly interface for loan officers. This interface allows for real-time input of applicant data and returns a probability score indicating the likelihood of default. The primary advantage of using logistic regression lies in its optimal blend of predictive power, computational efficiency, and, most importantly, model interpretability, which is crucial for regulatory compliance and providing actionable insights. This study concludes that the implemented system serves as a powerful decision-support tool, enhancing the accuracy, speed, and objectivity of the credit approval process. It enables financial institutions to move from reactive risk management to a proactive, predictive approach, leading to a more efficient allocation of capital, reduced losses from non-performing loans, and the potential for fairer, risk-based pricing. ...Preview Download Preview +Other Computer Science project topics and materials you might be interested in»Design and Implementation of digital library system»Design and Implementation of a Virtual E-Learning System ( Case study of Lagos State University)»Design and Implementation of Student Project Management and Allocation System»Design and Implementation of online cash receipt generating system for a supermarket»Design and Implementation of a Software Result Processing and Transcript Generation System»Design and Implementation of computerized hospital database management system»Design and Implementation of a Hotel Database Management System and Service ( A Case Study of Winter Suites and Hotels, Owerri)»Design and Implementation of Online Birth and Death Registration System»Design and Implementation of Online Clearance System»Design and Implementation of Loan Management System with SMS Notification»Design and Implementation of Computerized Staff Record Department»Design and Implementation of Cyber Cafe Security»Design and Implementation of N.Y.S.C Posting System ( A case study of N.Y.S.C Enugu)»Design and Implementation of a Computerized Fraud Detection in a Bank»Design and Simulation of a Secured Wireless Network