Abstract

The project is mainly focused on credit card fraud detection in real world. Over few years, Credit card fraud has become one of the most common types of fraudulent issues. The recent increase in transactions has resulted with such a huge increase in illegal transactions. The purpose is to obtain things without having to pay for them or to remove money from one account without being authorized. All credit card providing institutions must implement robust detecting fraud systems in order to minimize their losses. The fact that neither cards nor card users must be present in the transaction is among the most difficult parts of running a business. As a result, the card distributer has no way of determining whether or not the customer is purchasing the actual cardholder. The accuracy of the proposed scheme is achieved by utilizing the random forest. our proposed solution, using random forest algorithm gives the accuracy of detecting the fraud

Description