期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：8
页码：741-745
DOI：10.35629/5252-0308567571
语种：English
出版社：IJAEM JOURNAL
摘要：In the banking sector lots of people are applying for bank loans but which it has to grant to limited people only. To find out to whom the loan can be granted which will be a safer option for the bank. This is done by comparing data of the previous records of the people to which the loan was granted before and on the basis of these records the machine was trained using the machine learning model which gives the most accurate result. We predict the loan data by using decision tree algorithm,linear regression and random forest.Both the algorithms have been used on the same dataset and the conclusions have been made with results showing that the Random Forest algorithm outperformed the Decision Tree algorithm with much higher accuracy.
关键词：Data Analysis;Loan Prediction;Machine Learning;Random Forest;Decision Tree
