Fraud Detection, Machine Learning, User Behavior, Predictive Analytics, Feature Engineering.
did not perform that action. The ML models trained are: Decision Tree XGBoost Random Forest Logistic Regression Results The metrics used for the evaluation of the model are Precision and Recall. Each model has been trained both with normal and enriched transactions (the addition of the new features