Machine Learning Model For Identify Fraudulent Transactions In Mobile Payment

This study aims to investigate the monetary exchange framework for portable information mining. It also explores the various learning models utilized by casual machine rangers. The two models are assembled using an information base that is inspired by the genuine article occupations given by a worldwide cash administration organization. Keywords: fraud detection, classification; random forest, gradient boosting, confusion matrix