Credit Card Fraud Detection Using Logistic Regression
M. Devika, S. Ravi Kishan, L. Sai Manohar, N. Vijaya
Abstract
As digitalization and online transactions are getting improving day by day the usage of credit card is getting increased. Credit card frauds are the most frequently happening problems in present society. Majorly this type of frauds occurs whenever the fraudster was using some another user credit card information. The system which can be used in order to detect the frauds in the credit card transactions is called credit card fraud detection system. In this project we will use various types of machine learning models and algorithms for identifying the fraud in the transactions. Here algorithm such as logistic regression are considered. By selecting the algorithm with best high accuracy, the fraud will be detected. The logistic regression algorithm accuracy will be nearer to 0.99% with this accuracy we can easily identify the frauds. In this web application the admin can login and the authentication will be performed, then the admin can easily upload a dataset for identifying the frauds in the given dataset.