Comparative study of ML algorithms in Credit Card Fraud Detection

Researcher: Joey J. Assabil
Supervisor: Dr C. Obagbuwa

Credit Card Fraud (CCF) hasbeen a worldwide conundrumresulting in millions of losses.The research compares theefficiency of Traditional algorithms (LogisticRegression, Decision Trees,K-Nearest Neighbor) andEnsemble algorithms(Random Forest, Adaboost,Xgboost) in detectingfraudulent patterns withindatasets.