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World Journal of Engineering
Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

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Indexing

Abstract

CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING ALGORITHMS

Dr. S. Anitha* and Dr. N. Sridevi

ABSTRACT

Use of credit card urges people to purchase items online through the Internet. People will in general do a lot of buying on the web or in person by using the credit card. Charge cards have ended up being the most conspicuous office accessible to the individuals around the world to energize paperless exchanges at a colossal speed. At whatever point any such exchange occurs in trades or net advertising by utilizing a paperless structure, it is oppressed under high danger of fake exchanges because of numerous traps in the security arrangement of the utilization of credit cards on the systems. In this paper, supervised learning algorithms namely Logistic Regression, Decision Tree and Random Forest algorithms are involved to discover if the credit card transactions are fake or not. Performance evaluation metrics like precision, recall, F1-score and Matthews Correlation Coefficient are used to measure the performance of the algorithms. After the experimental outcomes, it is witnessed, the Random Forest algorithm outperforms better when compared to the other two algorithms.

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