IJIRCST

Analysing Auto ML Model for Credit Card Fraud Detection

Vaishali Garg | Sarika Chaudhary | Anil Mishra

Fraud Detection is a major concern these days because of digitalization. We are totally dependent on online transactions these days for even very small needs. There is no doubt that online transactions have made our life very easy but it has increased risk on other hand. And this risk can be very harmful one day. Confidential data is being stolen by the different apps and it is sold in international market. Which later on comes to us in totally different and very harmful way. So why not to use technology again to stop these risks and flaws. Various ML techniques has been observed by researchers but Auto ML is yet not discovered on a wider platform. Therefore, this paper at first aims to explore the trending technology Auto ML. Then a model for evaluating Auto ML is suggested and analysed with different classification algorithms. The experimental results ascertained the accuracy of Auto ML followed by a comparative analysis of ML and Auto ML.

Auto ML, Classification, Credit card, Fraud detection, Machine learning

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[Vaishali Garg, Sarika Chaudhary, Anil Mishra (2021), Analysing Auto ML Model for Credit Card Fraud Detection, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), Vol-9, Issue-3, Page No-31-36], (ISSN 2347 - 5552). www.ijircst.org

Vaishali Garg

Student, Department of Computer Science & Engineering, Amity University, Gurugram, India (vishugarg290@gmail.com)

DOI:

DOI: 10.21276/ijircst.2021.9.3.5 DOI URL: https://doi.org/10.21276/ijircst.2021.9.3.5

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