About this document
Online Fraud Detection with Machine Learning by Surya Thogiti is a document available to read on EtoBox.
The document discusses a study on online transaction fraud detection using machine learning techniques, highlighting the rise in digital payments and associated fraud risks. It presents two algorithms, one based on a Fully Connected Neural Network and another utilizing XGBoost, aimed at improving detection accuracy despite challenges like imbalanced data. The study concludes that methods such as Logistic Regression, Decision Trees, and Random Forest yield better results in fraud detection.
- Author
- Surya Thogiti
- Language
- EN