Credit Card Fraud Detection based on Ensemble Machine Learning Classifiers

YEAR : 2021

Description

Applications for machine learning algorithms are beginning to dominate the world of online financing.Using data from a credit card issuer, a Random Forest classifier, AdaBoost Classifier, CatBoost classifier, XGBoost, LightBGM based fraud detection system was trained on a large sample of labelled credit card account transactions and tested on a holdout data set.Our solution improves data usability, classification accuracy and resulting costs of analysing massive data sets used in personalizing customer experiences in online transaction.

Reviews

There are no reviews yet.

Be the first to review “Credit Card Fraud Detection based on Ensemble Machine Learning Classifiers”

Your email address will not be published. Required fields are marked *

Product Enquiry