Credit Card Fraud Detection System |
Author(s): |
| Shivani Tarkeshwar Varma , Government College Of Engineering Nagpur; Dnyaneshwari Badarkhe, Government College Of Engineering Nagpur; Pratiksha Dongre, Government College Of Engineering Nagpur |
Keywords: |
| Accuracy, Fraud Detection, Credit Card, Machine Learning, Isolation Forest Algorithm |
Abstract |
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Credit cards have surpassed cash as the most widely used payment method in recent years. As technology progresses, the number of fraud cases rises, necessitating the creation of a fraud detection algorithm that can reliably detect and remove fraudulent behavior. The Isolation Forest Technique, a machine learning-based classification system, is used in this study to deal with the very imbalanced dataset. Finally, this study will calculate the accuracy, precision. Because of the rapid growth of the internet, online shopping has become a vital aspect of everyone's lifestyle. Most people use MasterCard to pay for things online. It's a simple matter of looking, and consumers will find what they're looking for on your visual display device or on their smart phone. Purchases made online. |
Other Details |
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Paper ID: IJSRDV10I20286 Published in: Volume : 10, Issue : 2 Publication Date: 01/05/2022 Page(s): 204-207 |
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