Abstract
Fresh data on artificial intelligence are presented in a new report. According to news originating from Guangdong University of Technology by NewsRx correspondents, research stated, “Lenders often experience loan defaults, resulting in huge losses to lenders.” Our news journalists obtained a quote from the research from Guangdong University of Technology: “Lenders are required to conduct a credit assessment of borrowers before making loans. Machine learning plays an essential role in loan credit analysis. This study analyzes the application of machine learning in loan credit analysis through a dataset of borrowers from Kaggle and looks for an excellent algorithm. This study use Logistic Regression, randomforest, XGBoost and AdaBoost to fit the dateset and compare their accuracy in prediction. In terms of results, XGBoost performed well while logistic regression performed poorly.”
NETL
NSTL