CREDIT CARD FRAUD DETECTION USING RANDOM FOREST ALGORITHM

Ankita Vijay Sontakke; Prof Ashish Deharkar; Prof Pushpa Tandekar

doi:10.59367/b7sy5413

Authors

Ankita Vijay Sontakke Department of Computer Science And Engineering Shri Sai College of Engineering and Technology,Chandrapur ,India
Prof Ashish Deharkar Department of Computer Science And Engineering Shri Sai College of Engineering and Technology,Chandrapur ,India
Prof Pushpa Tandekar Assistant Professor, Department of Computer Science and Engineering , Shri Sai College of Engineering and Technology,Chandrapur India

DOI:

https://doi.org/10.59367/b7sy5413

Keywords:

Credit Card, Fraud Detection, Random Forest

Abstract

This paperfocuses on credit card fraud detection in real world. Here the credit card fraud detection is based on fraudulent transactions. 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 in order to find the online fraud transactions various methods have been used in existing system. In this paper we use Random Forest Algorithm(RFA) for finding the fraudulent transactions and the accuracy of those transactions. The performance of Random Forest Algorithm is evaluated based on the confusion matrix. The results obtained from processing the dataset gives accuracy of about 90%.

References

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