Performance Analysis of Different Machine Learning Algorithms on Credit Card Fraud Detection

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Published: Sep 15, 2023
Keywords:
Machine learning, , artificial neural networks, sample vector machine, random forest, accuracy, precision

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Amanpreet Kaur
Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, India
Vansh Sachdeva
Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, India
Abhijot Singh
Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, India
Ayush Jaiswal
Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, India
Niyati Aggrawal
Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, India
Archana Purwar
Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, India

Abstract

Machine learning (ML) is a logical investigation of various algorithms and factual models that PCs utilize to carry out particular operations that are not clearly programmed. This paper aims to statistically analyze different machine learning algorithms, and compare and contrast their performance for credit card fraud detection. Algorithms used are Artificial Neural Networks(ANN), Sample Vector Machine (SVM), and Kth Nearest Neighbour (KNN), Decision Tree, Logistic Regression and Random Forest. All these above mentioned algorithms are compared on basis of performance measures. It is deduced that the random forest algorithm is the best algorithm.

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How to Cite
1.
Kaur A, Sachdeva V, Singh A, Jaiswal A, Aggrawal N, Purwar A. Performance Analysis of Different Machine Learning Algorithms on Credit Card Fraud Detection. J. Int. Acad. Phys. Sci. [Internet]. 2023 Sep. 15 [cited 2024 Apr. 24];27(3):295-303. Available from: https://www.iaps.org.in/journal/index.php/journaliaps/article/view/910
Issue
Vol. 27 No. 3 (2023): Table of Content
Section
Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Simulated Credit Card Transactions generated using Sparkov, Credit Card Transactions Fraud Detection Dataset link https://www.kaggle.com/datasets/kartik2112/fraud-detection