Abstract
Credit card payments have been increasing significantly, which partly is due to the growth of e-commerce and credit cards being a more convenient and accessible payment method than other methods. Most modern countries are moving towards a more cash free society for reasons such as preventing money laundering. With credit cards being the most common payment solution in today’s world, credit card fraud has also become a common form of fraud in the banking world. FICO estimated in a report that in 2014 losses due to card fraud added up to $ 13.9 billion dollars. Recently, data driven machine learning algorithms have been used to automate and handle these types of complex classification problems. Examples of supervised solutions to this problem are Logistic Regression classifiers and support vector machine based Classifier. In this paper, we proposed support vector machine based model to enhance the performance than an existing model.