Performed Logistic Regression, Random Forest & Decision Tree Classification on transaction data using R Studio. Compared various techniques for best results concerning Accuracy, Prediction, Recall, AUC(Area Under Curve) with their Confusion Matrix using EXCEL with prediction of 15% reduction in fraudulent transaction. Technologies used: R, Jupyter Notebook, Classification Regression Models.
shivaniagrawal14 / credit-card-fraud-detection Goto Github PK
View Code? Open in Web Editor NEWPerformed Logistic Regression, Random Forest & Decision Tree Classification on transaction data using R Studio.