A Machine Learning Approach for Intelligent Digital Network Traffic Classification Using XG Boost and Random Forest
In the last decade, with the expansion of digital networks, the network traffic control problem has raised the necessity of effective and accurate techniques for its management. This work aims to compare and analyze two ensemble machine learning algorithms, XGBoost and Random Forest, for network traffic congestion clas...