Credit Card Fraud Detection Using Machine Learning Algorithms

Credit Card Fraud Detection Using Machine Learning Algorithms

Varun Chaudhari , Sanskar Gawade , Kanay Shirke , Prof.Tushar Ubale

Department of Computer Engineering
Bharat College of Engineering
Badlapur, Thane, Maharashtra, India

Abstract—This paper introduces a novel approach to credit card fraud detection, leveraging a machine learning-based engine empowered by genetic algorithms for feature selection. Evaluating performance on a dataset derived from cardholders, our method surpasses existing systems, employing Decision Trees, Random Forest, and classifiers to achieve superior results in fraud detection. Expandability and Confidentiality issues that arise when incorporating these methods into actual financial security structures the research finds the best fraud detection algorithm by comparing random forests based on accuracy all things considered this study advances technologies for detecting credit card fraud and deals with the increasing difficulties brought by on by internet transactions.

Keywords—Machine learning, Decision tree, Random Forest, Logistic Regression.