FraudShield-RF is a Customer Transaction Fraud Detection System built using Random Forest. The model aims to detect fraudulent transactions based on various transaction features like amount, time, ...

and discrepancies in transaction amounts. Two models, Logistic Regression and Random Forest, were trained using different hyperparameter settings. Using Logistic Regression with different alpha values ...

Abstract: The surge in online transactions ... The proposed model leverages the ensemble nature of random forests and optimal parameter tuning to effectively handle high-dimensional data and complex ...