Credit Card Fraud Detection using Random Forest Algorithm

Abstract

In this paper we mainly focus on credit card fraud detection in real world. Here the credit card 
fraud detection is based on fraudulent transactions. Generally, credit card fraud activities can 
happen in both online and offline. But in today's world online fraud transaction activities are 
increasing day by day. So,to find the online fraud transactions various methods have been 
used in existing system. In proposed system we use random forest algorithm(RFA) for finding 
the fraudulent transactions and the accuracy of those transactions. This algorithm is based on 
supervised learning algorithm where it uses decision trees for classification of the dataset. 
After classification of dataset a confusion matrix is obtained. The performance of RFA is 
evaluated based on the confusion matrix.