SKKU, graph mining, Team project

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This project provides a comprehensive analysis of risk prediction in Metaverse transactions using multiple machine learning algorithms. The comparative evaluation of logistic regression, decision trees, KNN, and neural networks offers insights into the most effective methods for identifying fraudulent or high-risk transactions.