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Loan Prediction Using Machine Learning

Mr. Sangule Umesh, Mr. Dhotre Shreeyash, Mr. Raundal Yash, Mr. Gaikwad Vikas, Prof. Sharad M Rokade

2022International Journal of Advanced Research in Science Communication and Technology12 citationsDOIOpen Access PDF

Abstract

In our banking system, banks have many products to sell but main source of income of any banks is on its credit line. So they can earn from interest of those loans which they credits. A bank's profit or a loss depends to a large extent on loans, whether the customers are paying back the loan or defaulting. By predicting the loan defaulters, the bank can reduce its Non- Performing Assets. This makes the study of this phenomenon very important. Previous research in this era has shown that there are so many methods to study the problem of controlling loan default. But as the right predictions are very important for the maximization of profits, it is essential to study the nature of the different methods and their comparison.

Topics & Concepts

DefaultLoanCross-collateralizationNon-performing loanBusinessTerm loanNon-conforming loanProfit (economics)Profit maximizationParticipation loanActuarial scienceFinanceEconomicsMicroeconomicsImage Retrieval and Classification TechniquesFinancial Distress and Bankruptcy PredictionImbalanced Data Classification Techniques
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