Customer Loan Eligibility Prediction Using Machine Learning Boosting Algorithms

The In recent days, data mining has become very important for gaining vital information in Loan Granting Industries Like Home Loan, Personal Loan, Business Loan any many more Loan Services Available Now Days. For This kind of Industries Machine Learning and Deep Learning industries. Any Housing Finance company in all kind of Different loans. Presence across all urban, semi urban and rural area. Customer first applies for a home loan. Company validates the customers eligibility for the loan. Company wants to automate the loan eligibility process. Gender, Marital Status Number of Dependents, Income Loan Amount Credit History and Many More. To enhance their business in better way these types of facilities, may enhance business as well as customer satisfaction. This Research deals with predicting the eligibilities for applicants who applied for any kind of loans from any financial institution. Here various data mining or machine learning can support for this kind of work like many classifications Algorithm Regression, Naïve Bayes, Support Vector Machine Decision tree & Random Forest and many more. A comparison has been done between the actual and predicted expenses of the prediction premium and eventually, a graph has been plotted on this basis which will enlighten us to choose the best-suited Algorithm. The Selected Algorithm will be applied for our proposed work i.e., Loan Prediction. for prediction, correctness has been measured by the Coefficient of determination. Gradient Boosting Classifier gives the best result in terms of Accuracy i.e. 0.9125 which can be used in its best possible way for the correct prediction of the Loan Prediction Guarantee for companies as well as Customers.