Published Paper Details:

ABSTACRT: forest algorithm and the Adaboost algorithm. The results of the two algorithms are based on accuracy, precision, recall, and F1-score. The ROC curve is plotted based on the confusion matrix. The Random Forest and the Adaboost algorithms are compared and the algorithm that has the greatest accuracy, precision, recall, and F1-score is considered as the best algorithm that is used to detect the fraud. UPI fraud detection is presently the most frequently occurring problem in the present world. This is due to the rise in both online transactions and e-commerce platforms. UPIfraud generally happens when the card was stolen for any of the unauthorized purposes or even when the fraudster uses the UPI information for his use. In the present world, we are facing a lot of UPI problems. To detect the fraudulent activities the UPIfraud detection system was introduced. This project aims to focus mainly on machine learning algorithms. The algorithms used are random.