Loan Payment Date Prediction Model Using Machine Learning Regression Algorithms
Sarthak Choudhary, Chandra Shakher Tyagi, Sakshi Choudhary, Abhineet Kumar · 2022
Any financial institution’s primary source of income is through loans. By expanding the money supply, loans keep the economy running. People and businesses utilize it for a variety of purposes, including personal costs, company expenses, and home purchases. However, because there is always a possibility of default, lending can turn into a risky venture for the bank. This study makes use of the data to forecast when a person or a company will pay back a loan, assisting the bank in creating the following business strategies. We have employed numerous machine learning algorithms to increase accuracy overall. Decision Tree, Random Forest, XG Boost, SVM, and other algorithms were employed. When using Python, the Decision Tree separates the data according to the parameters.