Fraud Detection, Machine Learning, User Behavior, Predictive Analytics, Feature Engineering.
with the others. For this reason, the splitting of the dataset could be done with a % of the user that will populate the Training set and the others in the Test set. In this way, the model could be generalized and be able to classify also transactions of new users. Of course, for each new user, it