Comparative Study of Various Machine Learning Algorithms Using Finance Industry

Abstract

Finance sector is the wealth backbone of any country, so risk  assessment and fraud detection have great importance. Risk assessment is the process of identifying vulnerabilities to an organization by identifying risk involved in each and every new plans, policies or investments. This paper concentrates on risk level detection of loan application and insurance claim and suggests a predictive model for risk assessment and fraud detection using three efficient machine learning algorithms after applying under sampling technique on data and compares the accuracy difference of them, on imbalanced and resampled datasets with the leading machine learning algorithms Random Forest ad SVM (support vector machine).