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Predicting the Loan Status using Logistic Regression and Binary Tree

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Document pages: 8 pages

Abstract: Banking systems use manual methods to make decisions about whether the customer was eligible for the loan or not by using their data. Manual methods were mostly efficient but not sufficient when the number of applications for the loan was high. At that time, the decision making will take a long period. So, the loan prediction machine learning model can be used to decide the loan status of customers and forms the strategies. This model extracts the important features of a customer which affects the customer loan status and applies the strategies. Finally, it reports the predicted output (loan status). These reports make the works of a bank manager easier and faster.

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