Repository files navigation Fraud Detection Using XGBoost Project Overview This project implements a fraud detection system using the XGBoost algorithm to classify financial transactions as fraudulent ...

Traffic classification (TC) is a fundamental task of network management and monitoring operations. Previous works relying on selected packet header fields (e.g. port numbers) or application layer ...

As renewable energy rapidly develops, wind power is becoming increasingly vital in energy systems. This study proposes an ultra-short-term wind power forecasting method using machine learning and time ...

A comprehensive comparative analysis of XGBoost and Random Forest algorithms for distinguishing breast cancer tissue from normal tissue using TCGA gene expression data.

Thus, the XGBoost model stands out from the comparison with different ML algorithms including transfer machine learning (25) and random forest (24) models due to its excellent performance, although ...