CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING

Abstract

The article presents a solution to the current problem of credit card fraud detection using classical machine learning methods. In particular, the following methods are considered: logistic regression, random forest and gradient boosting. The problems of having labeled data sets in the public domain for training models, as well as the specifics of the available data are shown.